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Crusher of the Month: ælf (ELF) - Multi-Chain Parallel Computing Blockchain
 
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ELF is a blockchain project that aims to create a "Linux eco-system" for blockchain. As of January 9, 2018, It has a circulating market cap of $610 million and is ranked as the #67 most valuable cryptocurrency. Full report by Crush Crypto: https://crushcrypto.com/aelf-crusher-jan-18/ PDF of the presentation: https://crushcrypto.com/wp-content/uploads/2018/01/CrushCrypto-Crusher-of-the-Month-aelf-ELF.pdf Download the free ICO Guide which contains 6 simple steps for analyzing any ICOs to find the winning projects: https://crushcrypto.com/youtube/ Note: This is not a paid review. We do not offer promotional or advertising services. Our content is based on our own research, analysis and personal opinion. _______________________________________ In our Crusher of the Month series we will select a coin or token each month that we have high conviction in. Here are some reasons why we selected ælf (ticker: ELF) for our January 2018 Crusher of the Month: #1: Hidden gem that is under the radar Not many people know about aelf because the project did not have a public ICO. It raised 55,000 ether through a private placement with leading VCs such as FBG Capital, Draper Dragon, Blocktower, AlphaBit, and others. Because aelf did not have a marketing campaign like most ICOs, many investors have not heard of the project or know what the project does. With so many institutional investors on board, we can have assurance that the team is qualified to carry out the project. #2: Rich feature of the blockchain While it is still too early to tell whether aelf will be successful, it strives to include many features that are highly desirable for the next generation of blockchains. It will contain the below main features: - Introduces the concept of main chain and multi-layer side chains to handle various commercial scenarios. One chain is designed for one use case, distributing different tasks on multiple chains and improve processing efficiency. For example, ticket issuance is of high frequency and a high volume of transactions per second in the system is desirable; digital legal contracts, on the other hand, require high security and reliability. - Enables aelf to communicate with external blockchain systems via messaging, e.g. Bitcoin, Ethereum. They interact with each other via the main chain in the form of Merkle tree and verification through external information input. The main chain contains the index of the system boundaries. Therefore, aelf does not seek to replace existing blockchains but rather aims to complement them. - Permits parallel processing for non-competing transactions and cloud-based services. During the process of Block formation, nodes assign transactions to different groups based on mutex of the transactions. Transactions within a group will be processed in sequence, while all groups will be processed simultaneously. - Enables scalable performance as computational power increases. The aelf kernel enables each node to operate on a cluster of computers. This means when more computational power joins the aelf ecosystem, it not only enhances system security but also grows transaction speed proportionally. - Permits stakeholders to approve amendments to the protocol, including redefining the consensus protocol; permits side chains to join or exit from main chain dynamically based on consensus protocol, therefore introducing competition and incentive to improve each side chain. The mainnet is scheduled to launch in May 2018, so we believe the token provides good value right now before the launch of mainnet. _______________________________________ Disclaimer The information in this video is for educational purposes only and is not investment advice. Please do your own research before making any investment decisions. Cryptocurrency investments are volatile and high risk in nature. Don't invest more than what you can afford to lose. Crush Crypto makes no representations, warranties, or assurances as to the accuracy, currency or completeness of the content contained in this video or any sites linked to or from this video.
Views: 19361 Crush Crypto
How secure is 256 bit security?
 
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Supplement to the cryptocurrency video: How hard is it to find a 256-bit hash just by guessing and checking? What kind of computer would that take? Cryptocurrency video: https://youtu.be/bBC-nXj3Ng4 Thread for Q&A questions: http://3b1b.co/questions Several people have commented about how 2^256 would be the maximum number of attempts, not the average. This depends on the thing being attempted. If it's guessing a private key, you are correct, but for something like guessing which input to a hash function gives a desired output (as in bitcoin mining, for example), which is the kind of thing I had in mind here, 2^256 would indeed be the average number of attempts needed, at least for a true cryptographic hash function. Think of rolling a die until you get a 6, how many rolls do you need to make, on average? Music by Vince Rubinetti: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown ------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that). If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended Various social media stuffs: Website: https://www.3blue1brown.com Twitter: https://twitter.com/3Blue1Brown Patreon: https://patreon.com/3blue1brown Facebook: https://www.facebook.com/3blue1brown Reddit: https://www.reddit.com/r/3Blue1Brown
Views: 804926 3Blue1Brown
Zilliqa Review - Smart Contract Platform
 
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A review of Zilliqa. Crypto's first sharded parallel processing platform. This is not financial advice only my opinion. twitter @cryptotrendsio
Views: 1396 Crypto Trends
Parallel Computation of Cryptographic Hash Functions
 
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This talk by Prasad Rao is an exploration of some work in progress that resulted from an attempt to answer these questions: 1) How to arrive at a multicore reference implementation of the Sakura tree hash mode? 2) How to enable communication of "shape" between the entity that computes a cryptographic tree hash with the verifier of this hash? 3) How well does this reference implementation scale w.r.t. the number of cores, sizes of inputs, and variety of shapes? 4) How to do all this without becoming an expert on C++ parallel programming? This talk is introductory and self-contained. All that is required of the audience is willingness and ability to read Haskell code. Code: https://gist.github.com/raoprasadv/f9... Meetup Link: http://www.meetup.com/NY-Haskell/even... New York Haskell Meetup, September 23, 2015
Cryptanalysis
 
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Views: 2680 Internetwork Security
Quantum Computers Explained – Limits of Human Technology
 
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Where are the limits of human technology? And can we somehow avoid them? This is where quantum computers become very interesting. Check out THE NOVA PROJECT to learn more about dark energy: www.nova.org.au Support us on Patreon so we can make more stuff: https://www.patreon.com/Kurzgesagt?ty=h Get the music of the video here: https://soundcloud.com/epicmountain/quantum-computers https://epicmountainmusic.bandcamp.com/track/quantum-computers http://epic-mountain.com Wakelet: https://wakelet.com/wake/42ji9UMJzN?v=st Or follow us on social media or reddit: http://kurzgesagt.org https://www.reddit.com/r/kurzgesagt https://www.facebook.com/Kurzgesagt https://twitter.com/Kurz_Gesagt THANKS A LOT TO OUR LOVELY PATRONS FOR SUPPORTING US: Tamago231, H.H. Lewis, Kirin Tantinon, David, Max Lesterhuis, Marek Belski, Gisle, Colin Millions, Gregory Wolfe II, Lenoir Preminger, Abel X, Matt Knights, Amjad Al Taleb, Ian Bruce, Kris Wolfgramm, 麒麟 于, Christopher Shaw, 靖羊, Tomas Grolmus, Essena O’Neill, Kyle Messner, Pedro Devoto, Mark Radford, Ann-Marie Denham, Davide Pluda, Rik Vermeer, Justin Ritchie, Nicole White, Whireds, Claus Vallø, Jason Talley, Andrew Wu, Christian Dechery, Michael Howell, Michal Hanus, Cavit, Amary Wenger, JDKBot, Jason Eads, FreedomEagleAmerica, Roberto Maddaloni, TiagoF11, Harsha CS, Abhimanyu Yadav, Tracy Tobkin, Mike Fuchs, Elizabeth Mart, Jacob Wenger, Jeff Udall, Ricardo Affonso, Mauro Boffardi, Audrin Navarro, Troy Ross, Keith Tims, Santiago Perez, James, Jack Devlin, Chris Peters, Kenny Martin, Frederick Pickering, Lena Savelyeva, Ian Seale, Charles Ju, Brett Haugen, David Ramsey, Benjamin Dittes, Michelle Schoen, Albert Harguindey Sanchez, Michael King, Alex Kyriacou Alla Khvatova Thomas Rowan, Siim Sillamaa, David Bennell, Janzen,Bryn Farnsworth, Adam Recvlohe, Manuel Arredondo, Fred McIntyre, Maldock Manrique, Дмитрий, Ishita Bisht, Jake Ludwig, Zach Seggie, Casey Sloan, Myndert Papenhuyzen, rheingold3, AncientCulture, Orion Mondragon, Jan, Michael Kuperman, Alexander Argyropoulos Quantum Computers Explained – Limits of Human Technology Help us caption & translate this video! http://www.youtube.com/timedtext_cs_panel?c=UCsXVk37bltHxD1rDPwtNM8Q&tab=2
Properties Of Modes Solution - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 866 Udacity
What is DeepBrain Chain $DBC| Multichain Blockchain | AI Machine Learning Powerhouse | Binance When?
 
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https://www.deepbrainchain.org/ https://t.me/deepbrainchain --DeepBrain Chain $DBC-- Of course DeepBrain is focusing on artificial intelligence, but DeepBrain Chain is aiming to become THE deep learning machine for the AI industry. --Moving away from NEO-- DeepBrain has decided to move away from the Neo Blockchain $NEO to their own blockchain. They will continue to partner with NEO, and provide computing power through its platform, also utulizing the NEO Virtual Machine and smart contracts, as well as provide services for NEO dAPPs in the future. --Consensus Mechanism-- You would think DeepBrain is a proof of work consensus (POW) since there is mining, but actually its a hybrid mechanism of proof of importance (POI) and delegated proof of stake(POS). The idea behind proof of importance is the more you benefit the network, the more you should be rewarded. Each address is given a trust score, and by being active on the network it goes higher, which means more of a chance of getting a reward. Delegated proof of stake, is defined by a number of delegates who process blocks and get rewards based on voting weight from the network. --Multichain Framework-- To achieve scalability in the future, DeepBrain has a multi-chain framework with additional working chains. The mainchain contains the schema definition of each working chain, leading to an unlimited number of working chains. Each of these working chains comprise of sharding blockchains, and each shard has it’s own consensus node. This will allow the network to achieve parallel processing and scale to millions of transactions per second. --DeepBrain Mining-- The mining mechanism of Deepbrain chain is very clever. 70 percent of the miners revenue comes from the mining pool mentioned above, while 30 percent comes from the cost of computing from the users of the platform. For the 70 percent mining revenue, each miner is rewarded based on the ratio of total power they contribute to the overall network. By employing this dual mechanism, the chain maximizes the interest of the miners and the users. Check Out My Website https://chicocrypto.com/ Link To Purchase Chico Crypto Sweater https://goo.gl/Sf4hrR Follow Me On Twitter https://twitter.com/ChicoCrypto Join The Chat On Telegram https://t.me/chicocrypto Add Me on Lit: @chicocrypto Beer Money Donations BTC-1MRZnYYpMwrmhG6oEd9HYbSzJoVSvPdih9 ETH-0x6b0e08fac3c9d71f44fc0bb8e3ec31ddc2dc04cf Won't Take Your NEO or NEOGas HODL Those Puppies DISCLAIMER: I am not a financial adviser. I am just a dude who knows crypto like the back of his hand. Be responsible for your own trades!
Views: 3233 Chico Crypto
Types of firewall  | network firewall security | TechTerms
 
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Learn different types of firewall, types of firewall software, types of hardware firewall, different types of firewalls, types of firewalls, types firewall, types of firewalls in network security, different types of hardware firewalls, types of firewall, different types of firewall, firewall configuration types, firewall types, 7 types of firewall, types of firewall in network security, types of firewall with diagram, firewall and types of firewall, types of network firewalls, firewall and its types, what is firewall and types of firewall, types of firewall architecture, types of firewall in networking, different types of firewall in network security, what is firewall and write the types of firewall, types of firewall attacks, firewall and types, firewall types and configuration, different types of firewalls and their functions. Follow us on Facebook: https://www.facebook.com/DGTechTerms/ Follow us on Twitter: https://twitter.com/Technical_Terms Firewalls protect our computers from internet hackers. Internet hackers can steal our bank details from our computers and can reduce our bank balance from 1000s of dollars to 0 in seconds. So, firewall is must in a computer / computer network. Starting with packet filtering firewall. Suppose, I am downloading a file from internet. When the data-packet arrives a packet-filtering firewall, it only checks sender’s and receiver’s IP address and the port number. If the everything is OK, then data packet is allowed to pass through packet-filtering firewall and then to my computer. This checking process is done as per rules written in a list called access control list. The only limitation (caveats) of packet filtering firewall is that it do not checks the data portion, i.e. Payload, of the data packet. So, a hacker could send some malicious data packed in this payload section. The 2nd one is application / proxy firewall: proxy firewall do not let the web server know which computer actually wants to visit the requested website, i.e. proxy firewall hides us from the attackers in internet. Since, the application firewalls also check the data contents of the received data packet so they are generally much slower than packet-filtering firewalls. 3rd is Hybrid firewalls: Hybrid firewalls combines packet filtering firewall and application firewall in series to enhance the security. If they are connected in parallel then the security of the connection will be reduced to the parameters defined by the packet filtering firewall, i.e. application firewall will be of no use if the two firewalls are connected in parallel. For this reason, hybrid firewalls use packet filtering and application firewall in series. -~-~~-~~~-~~-~- Please watch: "Computer Network Administrator – 5 Important Questions and answers" https://www.youtube.com/watch?v=4mKcQ1_vQjc -~-~~-~~~-~~-~-
Views: 181865 TechTerms
OpenCL Memory Architecture
 
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OpenCL defines a memory architecture and abstraction model that is common to all computing devices implementing the standard. This means that a programmer only has to learn about 1 memory model, which simplifies application coding. This video provides an overview of the OpenCL memory model and how it is implemented in an FPGA acceleration device. For More SDAccel Tutorials please visit: http://www.xilinx.com/training/sdaccel
Views: 1692 XilinxInc
Counter Mode - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 20399 Udacity
Coin Tossing Again Solution - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 727 Udacity
Mutual Distrust Solution - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 618 Udacity
Comparative Analysis of Parallel AES Algorithm
 
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J component presentation of Information and Network Security VIT University.
Random Oracle Solution - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 1261 Udacity
Eos Crypto Coin (*trailer) March - September 2018 followed by Astro Finance
 
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FULL PREDICTION: https://vimeo.com/ondemand/eosx EOS is a blockchain technology basically like Ethereum which has been brought to life by Dan Larrimer. He is also the creator of Steem and BitShares. On June 26, 2017 the project starts its ICO. Features Parallel Processing: The ability to do things in parallel, faster transcation speeds and more scalability. A Constitution: A set of rules on which everyone agrees upon, these are linked to every block mined. Self Sufficiency and Evolution: The current model allows for a 5% inflation, this will be used to develop the network further. Decentralised operating system: EOS is similar to a decentralised operating system, in practice this means that developers can build applications on EOS. Owning EOS coins is a claim on server resources. A developer needs to have EOS coins to use the EOS blockchain. Developers will not spend the coins to use the server resources, s/he just need to prove they hold them. Overview - Table of Contents What Is EOS? Getting Started With EOS How To Get An EOS Wallet? EOS Resources How To Buy EOS? How To Earn EOS? What Is EOS Mining? Latest EOS News This operating system will be hosted on servers (data centres) which in return will also be block producers. Block rewards in EOS are the incentive for these servers to host EOS applications. The applications running on this decentralised OS will be able to communicate with each other, there will also be measures to “firewall” applications. Applciations use very common functions such as user/password, user interfaces, backend (database) management. This means that applications can share frameworks or libraries which make development faster, more secure and less technical. For example, applications will have their own secure database and file space on EOS. EOS will allow developers to create blockchain applications with which end users will easily interact with. Probably most users would not even know that they will interact with one when using EOS as this will be completely transparent to the users. Etherum does a very poor job of making interacting with their blockchain a user-friendly process. EOS main competitor Etherum, demands users to pay for every transaction. EOS will not do so. This will incerase adoption. ERC20 like tokens can be created on EOS, this means that ICOS can be hosted on this blockchain. The ICO is one year long this should increase distribution, which should increase adoption. 200,000,000 two hundred million – distributed during a 5 day period beginning on June 26, 2017 at 13:00 UTC and ending on July 1, 2017 at 12:59:59 UTC. 700,000,000 seven hundred million – split evenly into 350 consecutive 23 hour periods of 2,000,000 EOS tokens each beginning on July 1, 2017 at 13:00:00 UTC.100,000,000 one hundred million – will be reserved for block.one and cannot be traded or transferred on the Ethereum network. 100,000,000 one hundred million – will be reserved for block.one and cannot be traded or transferred on the Ethereum network. Challenges The current ICO market is very agitated. To me, it feels a bit like a mania at this time. Ethereum has the first mover advantage in the smart contract space, a lot of systems have been built on Ethereum and it has proven itself to be a commercial grade blockchain. It is not impossible for Ethereum to adopt the same model. It is already planning to change from a POW to a POS. There are other competitors besides Etherum for example, RChain, Rootstock/RSK, and Crown have not yet released their smart contract / decentralised platform suite but once they do it could be cheaper and easier for developers to use these new platforms. There are other blockchains with smart contract capability such as BitShares and Graphene currently. These have limited smart contract capabilities at this time but they could adapt their systems to a similar model in the future. Smart contracts will be readable code rather than binaries. This would make maintaining proprietary smart contract tech confidential difficult. There is no cap on the amount of money being funded in this ICO. How will the excess funds be managed? Could this lead to a hyper valuation? What happens once the tokens can be moved? Would short-term investors try to make a quick buck, sell and cause the prices to crash?
Views: 777 Osher Astro Finance
What is EMBARRASSINGLY PARALLEL? What does EMBARRASSINGLY PARALLEL mean?
 
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What is EMBARRASSINGLY PARALLEL? What does EMBARRASSINGLY PARALLEL mean? EMBARRASSINGLY PARALLEL meaning - EMBARRASSINGLY PARALLEL definition - EMBARRASSINGLY PARALLEL explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ In parallel computing, an embarrassingly parallel workload or problem (also called perfectly parallel or pleasingly parallel) is one where little or no effort is needed to separate the problem into a number of parallel tasks. This is often the case where there is little or no dependency or need for communication between those parallel tasks, or for results between them. Thus, these are different from distributed computing problems that need communication between tasks, especially communication of intermediate results. They are easy to perform on server farms which lack the special infrastructure used in a true supercomputer cluster. They are thus well suited to large, Internet-based distributed platforms such as BOINC, and do not suffer from parallel slowdown. The opposite of embarrassingly parallel problems are inherently serial problems, which cannot be parallelized at all. A common example of an embarrassingly parallel problem is 3D video rendering handled by a graphics processing unit, where each frame (forward method) or pixel (ray tracing method) can be handled with no interdependency. "Embarrassingly" is used here in the same sense as in the phrase "an embarrassment of riches", meaning an overabundance—here referring to parallelization problems which are "embarrassingly easy". The term may also imply embarrassment on the part of developers or compilers: "Because so many important problems remain unsolved mainly due to their intrinsic computational complexity, it would be embarrassing not to develop parallel implementations of polynomial homotopy continuation methods." The term is first found in the literature in a 1986 book on multiprocessors by MATLAB's co-founder Cleve Moler, who claims to have invented the term. An alternative term, pleasingly parallel, has gained some use, perhaps to avoid the negative connotations of embarrassment in favor of a positive reflection on the parallelizability of the problems: "Of course, there is nothing embarrassing about these programs at all." Some examples of embarrassingly parallel problems include: Distributed relational database queries using distributed set processing Serving static files on a webserver to multiple users at once. The Mandelbrot set, Perlin noise and similar images, where each point is calculated independently. Rendering of computer graphics. In computer animation, each frame or pixel may be rendered independently (see parallel rendering). Brute-force searches in cryptography. Notable real-world examples include distributed.net and proof-of-work systems used in cryptocurrency. BLAST searches in bioinformatics for multiple queries (but not for individual large queries) Large scale facial recognition systems that compare thousands of arbitrary acquired faces (e.g., a security or surveillance video via closed-circuit television) with similarly large number of previously stored faces (e.g., a rogues gallery or similar watch list). Computer simulations comparing many independent scenarios, such as climate models. Evolutionary computation metaheuristics such as genetic algorithms. Ensemble calculations of numerical weather prediction. Event simulation and reconstruction in particle physics. The marching squares algorithm Sieving step of the quadratic sieve and the number field sieve. Tree growth step of the random forest machine learning technique. Discrete Fourier Transform where each harmonic is independently calculated. Convolutional neural networks running on GPUs.
Views: 108 The Audiopedia
How Does a Quantum Computer Work?
 
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For more on spin, check out: http://youtu.be/v1_-LsQLwkA This video was supported by TechNYou: http://bit.ly/19bBX5G A quantum computer works in a totally different way from a classical computer. Quantum bits or 'qubits' can exist in a superposition state of both zero and one simultaneously. This means that a set of two qubits can be in a superposition of four states, which therefore require four numbers to uniquely identify the state. So the amount of information stored in N qubits is two to the power of N classical bits. Thank you to Andrea Morello and UNSW. For more info, check out: http://bit.ly/17wZ7lt
Views: 2917942 Veritasium
Parallel White Noise Generation on a GPU via Cryptographic Hash
 
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This is a technique that generates uniform random numbers in a totally parallel and random-accessible fashion. The basic idea is very simple: given an input that can be trivially produced in parallel (e.g. a linear ramp), use cryptographic hash to scramble the individual samples independently and in parallel, and the output set will exhibit white noise statistics. For more details, see our I3D 2008 paper at http://research.microsoft.com/apps/pubs/default.aspx?id=70502
Views: 586 Li-Yi Wei
Kolmogorov Complexity Solution - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 1934 Udacity
TED Lecture - Cryptography
 
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Quantum laser pointers brings you the infamous double slit experiment right in the palm of your hand. In 1801 English physicist Thomas Young performed this experiment to determine if light was a particle or a wave. A laser shines a coherent beam of light through a film disc containing two parallel slits. Light striking the wall behind the slits producers a classic interference pattern. This surprising result means light passes through the parallel slits not as particles but as waves. When the peaks of two waves overlap it creates a band of light. When the peak of one wave meets the valley of another, light is cancelled out. Variations of this experiment spurred public debates between Albert Einstein and Neils Bohr on the true nature of reality. It’s been called the granddaddy of all quantum weirdness. This convenient and affordable double slit laser was designed for personal enjoyment and education.
What is XSL ATTACK? What does XSL ATTACK mean? XSL ATTACK meaning, definition & explanation
 
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What is XSL ATTACK? What does XSL ATTACK mean? XSL ATTACK meaning - XSL ATTACK definition - XSL ATTACK explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ In cryptography, the eXtended Sparse Linearization (XSL) attack is a method of cryptanalysis for block ciphers. The attack was first published in 2002 by researchers Nicolas Courtois and Josef Pieprzyk. It has caused some controversy as it was claimed to have the potential to break the Advanced Encryption Standard (AES) cipher, also known as Rijndael, faster than an exhaustive search. Since AES is already widely used in commerce and government for the transmission of secret information, finding a technique that can shorten the amount of time it takes to retrieve the secret message without having the key could have wide implications. The method has a high work-factor, which unless lessened, means the technique does not reduce the effort to break AES in comparison to an exhaustive search. Therefore, it does not affect the real-world security of block ciphers in the near future. Nonetheless, the attack has caused some experts to express greater unease at the algebraic simplicity of the current AES. In overview, the XSL attack relies on first analyzing the internals of a cipher and deriving a system of quadratic simultaneous equations. These systems of equations are typically very large, for example 8,000 equations with 1,600 variables for the 128-bit AES. Several methods for solving such systems are known. In the XSL attack, a specialized algorithm, termed eXtended Sparse Linearization, is then applied to solve these equations and recover the key. The attack is notable for requiring only a handful of known plaintexts to perform; previous methods of cryptanalysis, such as linear and differential cryptanalysis, often require unrealistically large numbers of known or chosen plaintexts. Solving multivariate quadratic equations (MQ) over a finite set of numbers is an NP-hard problem (in the general case) with several applications in cryptography. The XSL attack requires an efficient algorithm for tackling MQ. In 1999, Kipnis and Shamir showed that a particular public key algorithm, known as the Hidden Field Equations scheme (HFE), could be reduced to an overdetermined system of quadratic equations (more equations than unknowns). One technique for solving such systems is linearization, which involves replacing each quadratic term with an independent variable and solving the resultant linear system using an algorithm such as Gaussian elimination. To succeed, linearization requires enough linearly independent equations (approximately as many as the number of terms). However, for the cryptanalysis of HFE there were too few equations, so Kipnis and Shamir proposed re-linearization, a technique where extra non-linear equations are added after linearization, and the resultant system is solved by a second application of linearization. Re-linearization proved general enough to be applicable to other schemes. In 2000, Courtois et al. proposed an improved algorithm for MQ known as XL (for eXtended Linearization), which increases the number of equations by multiplying them with all monomials of a certain degree. Complexity estimates showed that the XL attack would not work against the equations derived from block ciphers such as AES. However, the systems of equations produced had a special structure, and the XSL algorithm was developed as a refinement of XL which could take advantage of this structure. In XSL, the equations are multiplied only by carefully selected monomials, and several variants have been proposed. Research into the efficiency of XL and its derivative algorithms remains ongoing (Yang and Chen, 2004). Courtois and Pieprzyk (2002) observed that AES (Rijndael) and partially also Serpent could be expressed as a system of quadratic equations. The variables represent not just the plaintext, ciphertext and key bits, but also various intermediate values within the algorithm. The S-box of AES appears to be especially vulnerable to this type of analysis, as it is based on the algebraically simple inverse function. ...
Views: 248 The Audiopedia
Perfect Cipher Solution - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 2869 Udacity
10 Facts About Zilliqa EXPLAINED! | 10 사실 Zilliqa 소개!
 
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Zilliqa ICO review! Zilliqa is a high throughput blockchain platform using sharding to solve the blockchain scalability issue by increasing the number of processable transactions per second (TPS). Zilliqa is a next-generation blockchain platform designed to scale in an open, secure, permissionless distributed network. Zilliqa is the first platform to implement sharding on a public blockchain, a core feature that enables the platform to tackle the same scalability issues that major blockchains are currently facing. Zilliqa uses transaction sharding, which basically means that the network is divided into smaller component networks that are able to process transactions in parallel. Scalability essentially refers to an increase in the throughput of blockchain technolgy, or simply put, it’s an improvement on the number of transactions per second (TPS) that a blockchain can process. Nevertheless, the team behind Zilliqa believes they’ve found a way to rival these numbers and offer a much needed solution to the blockchain scalability issue. Each group of 600 nodes is referred to as a “shard.” If, for example, the network was to operate with 1,800 nodes, it would divide itself into 3 ‘shards’. Each of these shards is tasked with processing a fraction of the network’s transactions. As the shards work in parallel, their assigned transactions are processed into microblocks. The “DS epoch” represents the end of this parallel processing period and the moment when microblocks are assembled into a full block, which becomes part of the blockchain. Nodes are assigned shards randomly, but will also know if they're part of the same shard. Several nodes will be chosen to manage the various shards for each DS epoch in a democratic and decentralized way. These randomly selected managing nodes are known as the Directory Service Committee (or DS Committee for short). They're tasked with directing the network and deciding which nodes are assigned to which shard. The DS Committee assigns new transaction requests to a shard for processing, and will ultimately assemble the microblocks that the shards created into a full block. The DS Committee then runs consensus on the new block before it becomes part of the blockchain. While transaction sharding is a fairly straightforward process requiring little communication between shards, the same cannot be said when it comes to running decentralized apps or smart contracts on a sharded blockchain. The actions of smart contracts must often depend on checking other variables, states, or functions. Shards would have to communicate a lot, which in turn would require processing power or bandwidth, and this can end up neutralizing the advantages of sharding. At the moment, an efficient and secure state sharding scheme has yet to be found. When contracts are allowed to run separately in various sharded states, there are a number of potential issues. These include excessive cross-shard communication, challenges to reconciliation, or the risk of contracts becoming more vulnerable to potential attacks. Ethereum is working on developing a potential solution to state sharding. Smart contracts on Zilliqa will only focus on data flow and functional programming; not yet allowing for checking, changing, or storing states. Scilla is a new programming language developed by the Zilliqa team, the syntax of which is similar to Solidity, but with one major difference. Scilla works through a separation of state and function, meaning it distinguishes between the communication aspect of a contract and the computational work it performs. Zilliqa doesn’t use proof-of-work to reach consensus, but rather, as a means of preventing Sybil attacks & establishing identities. Since energy usage associated with processing transactions in Zilliqa will be lower, the cost of processing transactions on the miners’ side will also be reduced. The high throughput in Zilliqa means that the aggregated sum of incentives from several transactions will compensate for the low fee per transaction. ZIL is the token native to the Zilliqa ecosystem, and it'll be used for paying transaction fees, as a mining incentive, or as gas for contract execution. ZIL is currently an ERC20 token based on the Ethereum blockchain that may be exchanged for Zilliqa-native tokens once the mainnet is launched. Zilliqa was conceived out of a well-funded initiative from the University of Singapore. Xinshu Dong, a cybersecurity expert with several national security projects in Singapore to his name, will act as Zilliqa's CEO. Prateek Saxena, a research professor in computer science at the National University of Singapore, is the project’s Chief Scientific Advisor. Disclaimer: This is not financial advice. I absolve myself of all responsibility (directly or indirectly) for any damage, loss caused, alleged to be caused by, or in connection with the use of or reliance on any content, goods or services mentioned in this article. As usual, do your own research.
Trust enhanced cryptography role based access control for secure cloud data storage
 
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IEEE PROJECTS 2015 - 2016 1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider. It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training. Dot Net DOTNET Project Domain list 2015 1. IEEE based on datamining and knowledge engineering 2. IEEE based on mobile computing 3. IEEE based on networking 4. IEEE based on Image processing 5. IEEE based on Multimedia 6. IEEE based on Network security 7. IEEE based on parallel and distributed systems Java Java Project Domain list 2015 1. IEEE based on datamining and knowledge engineering 2. IEEE based on mobile computing 3. IEEE based on networking 4. IEEE based on Image processing 5. IEEE based on Multimedia 6. IEEE based on Network security 7. IEEE based on parallel and distributed systems ECE Projects list 1. Wireless projects 2. Matlab 3. Robotics 4. Power system 5. VLSI 6. Embedded system CONTACT US 1 CRORE PROJECTS Door No: 214/215,2nd Floor, No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai, Tamin Nadu, INDIA - 600 026 Email id: [email protected] website:1croreprojects.com Phone : +91 97518 00789 / +91 72999 51536
Views: 287 1 Crore Projects
Proving Security Solution - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 3417 Udacity
Keynote - Tariq Jamil at SAI Conference 2014 - An Introduction to Complex Binary Number System
 
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This video was recorded at SAI Conference 2014 - http://saiconference.com/Computing More about SAI Conference at http://www.conference.thesai.org Complex numbers play a unique and important role in engineering applications such as digital signal processing and image processing. These days, arithmetic operations involving complex numbers are usually carried out by the application of "divide-and-conquer" technique, whereby a complex number is broken-up into its real and imaginary parts and then operations are carried out on each part as if it was a part of the real arithmetic. Finally, the overall result of the complex operation is obtained by accumulation of the individual results. For instance, addition of two complex numbers (a+jb) and (c+jd) requires two separate additions (one for the real part and one for the imaginary part) while multiplication of the same two complex numbers requires four multiplications (ac, ad, bc, bd), one subtraction (j2bd = bd ), and one overall addition. This can be effectively reduced to just one complex addition or only one multiplication and addition respectively for the given cases if each complex number is represented as one unit instead of two individual units. In an effort to provide single-unit representation to complex numbers, both mathematicians and engineers have tried to define binary numbers with bases other than 2. This includes work by Donald E. Knuth in 1960, Walter Penney in 1964, and V. Stepanenko in 1996. In this presentation, I'll provide a tutorial on (1+j)-base binary number system which allows complex numbers the opportunity to be represented as a single unit like their counterparts in the "real"-world. I'll also outline procedures for addition, subtraction, multiplication, and division of two such complex binary numbers and present hardware designs of nibble-size complex binary adder, subtractor, multiplier, and divider circuits. Finally, I’ll discuss how we can incorporate this unique number system in today’s microprocessor’s technology and enhance parallel processing paradigm utilizing associative memory in a dataflow environment. An innovation patent on Complex Binary Associative Dataflow Processor has been granted by the Australian Patent Office in 2010 whose details will also be presented in this tutorial. About the Speaker: Dr. Tariq Jamil is a faculty member in the Department of Electrical and Computer Engineering at Sultan Qaboos University (SQU, Oman) where he teaches and does research in the areas of computer architecture, parallel processing, computer arithmetic, and cryptography. Before joining the faculty at SQU in year 2000, he had been a lecturer at the University of New South Wales, Sydney (Australia) and the University of Tasmania, Launceston (Australia). Dr. Jamil holds a B.Sc. (Honors) degree in electrical engineering from the NWFP University of Engineering and Technology (Pakistan) and M.S./Ph.D. degrees in computer engineering from the Florida Institute of Technology (USA). He has authored three books (the latest one is on Complex Binary Number System published by Springer), holds an Australian Innovation Patent on Complex Binary Associative Dataflow Processor, and has written over forty research papers in refereed international conferences and journals. He has been a recipient of research grants from the Australian Research Council and SQU. On account of his outstanding academic achievements and for contributions to activities related to the computing discipline, he was awarded the IEEE Computer Society(USA)/Upsilon Pi Epsilon Honor Society Award for Academic Excellence (1996). Dr. Jamil has served as a distinguished speaker in the IEEE Computer Society (USA) Distinguished Visitors Program (DVP) and his biography has been published in such renowned directories as Marquis's Who's Who in the World (USA), Who's Who in Science and Engineering (USA), and Dictionary of International Biography (UK). He is a senior member of IEEE (USA), member of the IET (UK), a Chartered Engineer (UK), and a registered Professional Engineer. The tutorial at SAI Conference 2014 is expected to give further impetus to the research on this topic around the world.
Views: 564 SAIConference
Moore's Law and The Secret World Of Ones And Zeroes
 
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SciShow explains how SciShow exists -- and everything else that's ever been made or used on a computer -- by exploring how transistors work together in circuits to make all computing possible. Like all kinds of science, it has its limitations, but also awesome possibilities. ---------- Like SciShow? Want to help support us, and also get things to put on your walls, cover your torso and hold your liquids? Check out our awesome products over at DFTBA Records: http://dftba.com/artist/52/SciShow Or help support us by subscribing to our page on Subbable: https://subbable.com/scishow ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Thanks Tank Tumblr: http://thankstank.tumblr.com Sources: http://www.mooreslaw.org/ http://www.intel.com/content/dam/www/public/us/en/documents/corporate-information/museum-transistors-to-transformations-brochure.pdf http://www.tldp.org/HOWTO/Unix-and-Internet-Fundamentals-HOWTO/core-formats.html http://homepage.cs.uri.edu/book/binary_data/binary_data.htm https://www.youtube.com/watch?v=qm67wbB5GmI https://www.youtube.com/watch?v=cNN_tTXABUA http://www.newscientist.com/article/mg21929301.000-parallel-sparking-many-chips-make-light-work.html#.U1iQ3vmSzmc http://www.newscientist.com/article/mg20527441.600-spasers-set-to-sum-a-new-dawn-for-optical-computing.html#.U1iREfmSzmc http://www.tldp.org/HOWTO/Unix-and-Internet-Fundamentals-HOWTO/core-formats.html http://www.extremetech.com/computing/97469-is-14nm-the-end-of-the-road-for-silicon-lithography http://www.amasci.com/miscon/speed.html http://newsoffice.mit.edu/2013/computing-with-light-0704
Views: 1071806 SciShow
Perfect Cipher Is Impractical Solution - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 1978 Udacity
Randomness Quiz Solution - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 1058 Udacity
Quarkchain Explained! Quest for 100k TPS!
 
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Welcome to tonight's Quarkchain review video: Quarkchain Explained. So first thing is first, what is quarkchain? It is a blockchain 3.0 that is focusing on high scalability and high throughput utilizing sharding. QKC is fresh out of the ICO phase (May) has a testnet launched and currently trading on quite a few major exchanges. 🔴 Subscribe for more free Crypto Content https://www.youtube.com/cryptobrosrod?sub_confirmation=1 In tonight's video we go over the tech, check out the website, look at some price points and talk about some of the controversies surrounding the project. -100k Transactions Per second ON CHAIN -2 layer system - (Sharding divide and conquer processed in parallel) -Sharding Layer- Elastic sharding of blockchain- breaks down the transactions/data and processes them in parallel- This allows for the high throughput ---This layer is flexible in that it can resharded without changing root layer. -Root layer this confirms the blocks from the shards as the second layer. -Quarkchain runs of full nodes and cluster of nodes **Disclaimer** As always, nothing I said in this video is financial advice as I am not a financial advisor nor do I pretend to be one. Everything said in this video and ALL videos are my own personal opinion and should be used as entertainment purposes ONLY (definitely not as financial advice). Always do your own research, just because one person says something on the internet does not make it true. Any time you invest into a cryptocurrency it is a risk. You must make sure you are well versed before making any decisions with crypto investments. If in the event you do take the risk you must take sole responsibility for your actions. Video Links https://medium.com/quarkchain-official/quarkchain-explained-part-3-sharding-in-quarkchain-state-partitioning-bce9fdc86fcb 🚀Twitter: https://twitter.com/RodcryptoGod 🚨 Steemit: https://steemit.com/@cryptobr0 📧Contact: [email protected] 📧Telegram @CryptoBrosRod 🔑My Fav Exchange: https://www.binance.com/?ref=11507836 🔑Kucoin Exchange: https://www.kucoin.com/#/?r=281sK 🔒Get Your Nord VPN Here- https://nordvpn.org/cryptobros 🔒Save 77% by using "cryptobros" at check out. 🦁Download Brave Here-- https://brave.com/cry748
Views: 180 Crypto Bros
19. Synchronous Distributed Algorithms: Symmetry-Breaking. Shortest-Paths Spanning Trees
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Nancy Ann Lynch In this lecture, Professor Lynch introduces synchronous distributed algorithms. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 8748 MIT OpenCourseWare
Quantum Computing
 
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Google's AI lab recently announced that it had developed a quantum computer with 100 million times the processing speed of an average computer chip. So what is a quantum computer? In this episode, Jonathan takes us on a journey inside quantum computing, where problems are solved in a massively parallel process rather than in sequence. What futuristic computing gets you really excited? Quantum computing? DNA computing? Talk about it with us in the comments below! ------------------------------------------------------- Subscribe to Fw:Thinking: http://www.youtube.com/subscription_center?add_user=fwthinking For the audio podcast, blog and more, visit the Fw:Thinking website: http://www.fwthinking.com Fw:Thinking on Twitter: http://www.twitter.com/fwthinking Jonathan Strickland on Twitter: http://www.twitter.com/jonstrickland Fw:Thinking on Facebook: http://www.facebook.com/FWThinking01 Fw:Thinking on Google+: https://plus.google.com/u/0/108500616405453822675/
Views: 52308 Fw:Thinking
Is the Universe Actually a Giant Quantum Computer?
 
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According to professor Seth Lloyd, the answer is yes: "Everything in the universe is made of chunks of information called bits." A researcher in Mechanical Engineering at MIT, Lloyd is one of the leaders in the field of quantum information. Decades ago, the feasibility of developing quantum computing devices was challenged. Now, as quantum computation is producing actual technologies, we are only left to wonder—what kind of applications will it provide us with next? To begin understanding if the universe is a giant quantum computer—that is, a computer that operates using the principles of quantum mechanics—we must first understand the building blocks. What is information? According to Lloyd, everything in the universe is made of chunks of information called bits. These are the zeroes and ones that an engineer uses as the building blocks of computer software. Atoms themselves are also bits of information. Tiny particles such as electrons, whose positions and velocities we cannot know for certain, are described by quantum mechanics. We can only give an estimate as to where an electron might be, and how fast it is moving. Before we make the measurement, the electron could be in any position, at the same time. In a regular computer, information is encoded as bits interpreted as either 0 or 1. In a quantum computer, this information comes in slightly different variety – quantum bits, or “qubits”. These qubits can be in one state, in another, or somewhere in between. A classical computer can read only one bit at a time, while a quantum computer will read all possible combinations. This means that quantum computers can give us a completely new and incredibly fast means of computing, such as factoring large numbers or evaluating extremely complex algorithms used for data analysis in finance, science, or cryptography. Just like a quantum computer, physical processes involve the exchange and processing of information. Ed Fredkin first proposed that the Universe could be a computer in the 1960’s, as well as Konrad Zuse who came up with the idea independently. In their view, the Universe could be a type of computer called a cellular automaton, which describes a dynamic system that is broken apart into black and white grids, in which cells gather information from the surrounding cells on whether or not to change color. This is similar to the way a line or moving colony of ants might share information between each other about their surroundings, signaling to each other whether or not to follow a food trail. However, this initial analogy to such sharing of information turned out to be not quite accurate. Regular computers are not so good at simulating quantum systems that do not follow the “yes” or “no” kind of signals, since quantum systems can have mixed signals! These are called the superposition of states, and can only be simulated by a quantum rather than classical computer. Since the universe itself is best described by quantum mechanics, Lloyd suggests that “quantum computing allows us to understand the universe in its own language.” Physicists are not the only ones keen to reap the benefits of quantum computing; companies like IBM and Canadian D-wave as well as agencies like the CIA and NSA are also investing heavily in quantum computation research. The universe, however, might have already invested in a quantum computer. After all, information is processed in a very quantum mechanical way both on a tiny and large scale. The efficiency of these processes in our universe may very well suggest its true nature—of a quantum kind. (August 2016) Watch the rest of "Seth Lloyd on Programming the Universe" at TVOChannel: https://youtu.be/I47TcQmYyo4 (July 2012) Visit: https://www.facebook.com/SpaceAndIntelligence
Views: 24272 Space And Intelligence
Brute Force Attacks - CompTIA Network+ N10-006 - 3.2
 
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CompTIA has RETIRED the N10-006 exam series! See NEW CompTIA Network+ videos: http://professormesser.link/007course Network+ Training Course Index: http://professormesser.link/n10006 Professor Messer’s Course Notes: http://professormesser.link/n10006cn Frequently Asked Questions: http://professormesser.link/faq - - - - - Any password-based security system can be attacked by trying every possible password. In this video, you’ll learn about brute force attacks, password files, and how hackers can abbreviate the brute force process with dictionaries. - - - - - Download entire video course: http://professormesser.link/006vdyt Get the course on MP3 audio: http://professormesser.link/006adyt Subscribe to get the latest videos: http://professormesser.link/yt Calendar of live events: http://www.professormesser.com/calendar/ FOLLOW PROFESSOR MESSER: Professor Messer official website: http://www.professormesser.com/ Twitter: http://www.professormesser.com/twitter Facebook: http://www.professormesser.com/facebook Instagram: http://www.professormesser.com/instagram Google +: http://www.professormesser.com/googleplus
Views: 26213 Professor Messer
Image encryption and embedding in image Matlab
 
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This code reads raw text from an input notepad. It is then encrypted using RSA encryption algorithm. This encrypted text is then hidden in the 8 bit planes of an input grayscale image. This image is then read back, embedded encrypted text from the bit planes are read back, it is then decrypted, then the resulting raw text is displayed. MSE PSNR between original image and encrypted text embedded image is shown. Code will work for any amount of text in the input notepad. There is no limitation. Code can be modified based on customer requirements. If you are interested in buying this code, please drop an email to [email protected], or please visit matlabz.com
Views: 7435 Matlabz T
Image Steganography with 3 Way Encryption
 
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Get this project system at http://nevonprojects.com/3-way-encryption-image-staganography/
Views: 10853 Nevon Projects
What is the Best Power Supply for a Mining Rig? ATX vs Server PSU's
 
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What is the best power supply for a mining rig? It doesn't matter if you have a Antminer / ASIC Miner or a GPU Mining Rig, I cover it all in this video to break down what I believe to be the best PSU for your mining needs! Graphics Cards IN STOCK on Amazon - http://geni.us/nti5asr Mining Rig Parts IN STOCK on Amazon - http://geni.us/WQd7cCs VoskCoin Patreon - https://www.patreon.com/VoskCoin VoskCoin Steemit - https://steemit.com/@voskcoin VoskCoin Facebook - https://www.facebook.com/VoskCoin/ VoskCoin Reddit - https://www.reddit.com/r/voskcoin/ VoskCoin Discord Server Invite - https://discord.gg/FGGmS2z VoskCoin Twitter - https://twitter.com/VoskCoin VoskCoin Instagram - https://www.instagram.com/voskcoin/ VoskCoin Decentralized Tube - http://bit.ly/VoskCoindTube Buy anything at Parallel Miner with this link - https://goo.gl/9p8uMk 1500w Platinum Server PSU (750x2) https://goo.gl/SJjNTb PicoPSU ATX Mobo Adapter (shown in video) https://goo.gl/BDbcGD ATX Mobo Adapter 180 Watt a bit more power https://goo.gl/5G6pHU Power supplies and parts on Amazon http://amzn.to/2xKt7fB (US) http://amzn.to/2yqWVQf (UK) http://amzn.to/2yPepZR (CA) In this video I discuss whether you should use a ATX power supply for your mining rig or use a server psu for your miner. I also discuss why power supply efficiency is so important and why I am a huge advocate of platinum+ power supplies being worth it. I also go over a pico psu which basically allows you to run a gpu rig entirely off of a server hp delta ibm style power supply as the PicoPSU allows you to power the motherboard and a few accessories such as pcie risers with it. VoskCoin Official Donation Addresses, support appreciated! BTC - 12PsgKuhcJrEqJbD3oMN7rcEcuyqyqRznL ETH - 0xDEe6A2ae293F8C58Ef71649658344BbF382b6e70 ZEC - t1WRoxHVh8vhDJxAr6vpP4zzj3xHGF9ZbgQ ZEN - znb1iNFP6VctF2AhXLXtMsSjP7emvYDmeXR VTC - VdeggL7drzbYeB2eedDeDYe9xPwtPXW8KG KMD - RCbKFSQhNWCqSwuFY8cGwzhDk8zMdYkjDj Doge - DHgX7vJjBsmYcB1GgubGtu3TVJkqQgCG6B XMR - 484HoyS4h2fenvLKQkuUV7FwnJaGK8LMX43tiJ3UZdVU53d2MxFiQ1jbSfyorsXZVs1SvoPVh4nipjd7b4GVgFGmCgygdpV We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to http://Amazon.com and affiliated sites.
Views: 27953 VoskCoin
Best Budget DIY GPU Mining Rig ( Mine Zcash, Ethereum, and ZenCash )
 
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Today I'm turning one of my Trio Mining Rigs ( 1080 TI / 1080 TI / 1070 Mini ) into a 4 card GPU Mining Rig. A 4 card miner is one of the best beginner and budget minded mining rigs around. Graphics Cards IN STOCK on Amazon - http://geni.us/nti5asr Mining Rig Parts IN STOCK on Amazon - http://geni.us/WQd7cCs FULL PART LIST MiningCave Coupon for entire site = voskcoin https://goo.gl/Qk1th5 Zotac 1080 Mini 8gb (4x) http://amzn.to/2zweEWM Zotac 1070 Mini 8gb (4x) http://amzn.to/2xMruhB Zotac 1060 mini 6gb (4x) http://amzn.to/2gOOIxK Gigabyte z270 d3 mobo http://amzn.to/2yvLVmh Intel g4400 CPU http://amzn.to/2yvIUTh ATX power switch http://amzn.to/2zxp4pe Ram http://amzn.to/2gOnmYK USB (Harddrive) http://amzn.to/2znaPX9 EVGA 750w PSU http://amzn.to/2hNSKpQ Alternate PSU Parallel 750w (needs ATX adapter) https://goo.gl/ZFckQc ATX mobo adapter https://goo.gl/BDbcGD & https://goo.gl/5G6pHU Velcro (Useful for customizing placement) http://amzn.to/2zgKDt8 Arctic Freeze Thermal Paste kit http://amzn.to/2zi6TD5 PCIE Risers http://amzn.to/2xMTKQY Add2PSU http://amzn.to/2xMtVAM Zip Ties http://amzn.to/2xIib2S Mining software used is nvOC made by fullzero https://goo.gl/pYgo8B Alternate Mining OS smOS https://goo.gl/jMxTSS VoskCoin Patreon - https://www.patreon.com/VoskCoin VoskCoin Steemit - https://steemit.com/@voskcoin VoskCoin Facebook - https://www.facebook.com/VoskCoin/ VoskCoin Reddit - https://www.reddit.com/r/voskcoin/ VoskCoin Discord Server Invite - https://discord.gg/FGGmS2z VoskCoin Twitter - https://twitter.com/VoskCoin VoskCoin Instagram - https://www.instagram.com/voskcoin/ VoskCoin Decentralized Tube - http://bit.ly/VoskCoindTube VoskCoin Official Donation Addresses, support appreciated! BTC - 12PsgKuhcJrEqJbD3oMN7rcEcuyqyqRznL ETH - 0xDEe6A2ae293F8C58Ef71649658344BbF382b6e70 ZEC - t1WRoxHVh8vhDJxAr6vpP4zzj3xHGF9ZbgQ ZEN - znb1iNFP6VctF2AhXLXtMsSjP7emvYDmeXR VTC - VdeggL7drzbYeB2eedDeDYe9xPwtPXW8KG KMD - RCbKFSQhNWCqSwuFY8cGwzhDk8zMdYkjDj Doge - DHgX7vJjBsmYcB1GgubGtu3TVJkqQgCG6B XMR - 484HoyS4h2fenvLKQkuUV7FwnJaGK8LMX43tiJ3UZdVU53d2MxFiQ1jbSfyorsXZVs1SvoPVh4nipjd7b4GVgFGmCgygdpV We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to http://Amazon.com and affiliated sites.
Views: 39598 VoskCoin
Guessing Keys Solution - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 1225 Udacity
Grid Computing
 
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This Lecture talks about Grid Computing
Views: 3756 Cec Ugc
Shoucheng Zhang: "Quantum Computing, AI and Blockchain: The Future of IT" | Talks at Google
 
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Prof. Shoucheng Zhang discusses three pillars of information technology: quantum computing, AI and blockchain. He presents the fundamentals of crypto-economic science, and answers questions such as: What is the intrinsic value of a medium of exchange? What is the value of consensus and how does it emerge? How can math be used to create distributed self-organizing consensus networks to create a data-marketplace for AI and machine learning? Prof. Zhang is the JG Jackson and CJ Wood professor of physics at Stanford University. He is a member of the US National Academy of Science, the American Academy of Arts and Sciences and a foreign member of the Chinese Academy of Sciences. He discovered a new state of matter called topological insulator in which electrons can conduct along the edge without dissipation, enabling a new generation of electronic devices with much lower power consumption. For this ground breaking work he received numerous international awards, including the Buckley Prize, the Dirac Medal and Prize, the Europhysics Prize, the Physics Frontiers Prize and the Benjamin Franklin Medal. He is also the founding chairman of DHVC venture capital fund, which invests in AI, blockchain, mobile internet, big data, AR/VR, genomics and precision medicine, sharing economy and robotics.
Views: 13381 Talks at Google
The Power of Theory in the Practice of Hashing with Focus on Similarity Estimation
 
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A Google TechTalk, 3/8/18, presented by Mikkel Thorup (University of Copenhagen) Talks from visiting speakers on Algorithms, Theory, and Optimization
Views: 1159 GoogleTechTalks
DIP Lecture 21: Digital watermarking
 
01:04:07
ECSE-4540 Intro to Digital Image Processing Rich Radke, Rensselaer Polytechnic Institute Lecture 21: Digital watermarking (4/27/15) 0:00:03 History of digital watermarking 0:00:42 Related terms (cryptography, steganography) 0:04:25 Definition of watermarking 0:06:41 Currency, TV, and cinema watermarking 0:13:37 Watermark embedding and detection 0:17:56 Desirable properties of watermarks 0:23:15 Simple spatial watermarks 0:25:13 Least-significant-bit watermarking 0:27:36 Adding blocks of pseudorandom noise 0:31:54 Frequency-domain watermarking using significant DCT coefficients 0:37:57 Cox et al.'s spread-spectrum watermarking 0:44:50 Matlab example of embedding, attacking, and detection 0:58:33 Video watermarking For more information, see http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=650120
Views: 8884 Rich Radke
How to Easily Build a 6x 1080 TI Mining Rig 4400 sols ZEC ZenCash
 
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Today I cover how to build the easiest 6x 1080 TI GPU Mining Rig, in this video I eliminate the need for two power supplies or a server PSU and a Pico PSU. . what does that mean? Simply put this GPU Miner only needs one ATX / EVGA Power Supply in order to operate every component Graphics Cards IN STOCK on Amazon - http://geni.us/nti5asr Mining Rig Parts IN STOCK on Amazon - http://geni.us/WQd7cCs 1080 TI RIG FULL PARTS LIST - Amazon https://goo.gl/Jyw38u Parallel Miner Rev2 Frame (Shown) https://goo.gl/k1RBQB Parallel Miner BareBones (Cheaper) 1080 TI (6x) http://amzn.to/2AmqUtU (Similar) http://amzn.to/2ndk32I (Alternate) http://amzn.to/2ngQEF0 (Alternate) http://amzn.to/2i1AUAg (Alternate) PCIE Risers (6x if needed) http://amzn.to/2hUHeJK Motherboard http://amzn.to/2jwsQI2 CPU http://amzn.to/2AatLZe Ram http://amzn.to/2A8rJrV USB Harddrive http://amzn.to/2zqwlGS http://amzn.to/2Ad58bG (Better price Alt.) PCIE 1x 6 pin to 2x 6+2 pin http://amzn.to/2i5vJ65 Power Supply http://amzn.to/2neEuwj (Shown) http://amzn.to/2i2m2BC (Alternate) Felt + Rubber Pads http://amzn.to/2A9ykmv 240v/PDU C19/C20 Power Cable http://amzn.to/2AgXIGK EXTRAS & USEFUL ITEMS TO HAVE Zip Ties http://amzn.to/2zqZgdO PC Screw Kit http://amzn.to/2i446Xq Mining Shelf Rack http://amzn.to/2zpnjtx (Black) http://amzn.to/2ztA5HD (Silver) Arctic Silver Kit http://amzn.to/2AdY2nC Powerline Ethernet Adapter http://amzn.to/2hRGNjw Download smOS https://goo.gl/jMxTSS Download HDD Raw Copy http://www.mediafire.com/file/2ccebvpyuv87r35/HDDRawCopyToolSetup.exe EWBF smOS Settings miner.exe --server zhash.pro --user znkPcNtQTKfBkwPqnQBdKRuifeVejrEhjRU.msidirewolf --pass x --port 3058 --cuda_devices 0 1 2 3 4 5 6 7 8 9 10 11 /// 200 Core (lower if crashing) 500 Memory (lower if crashing) 200 Watts (raise or lower if desired) VoskCoin Official Donation Addresses, support appreciated! BTC - 12PsgKuhcJrEqJbD3oMN7rcEcuyqyqRznL ETH - 0xDEe6A2ae293F8C58Ef71649658344BbF382b6e70 ZEC - t1WRoxHVh8vhDJxAr6vpP4zzj3xHGF9ZbgQ ZEN - znb1iNFP6VctF2AhXLXtMsSjP7emvYDmeXR VTC - VdeggL7drzbYeB2eedDeDYe9xPwtPXW8KG KMD - RCbKFSQhNWCqSwuFY8cGwzhDk8zMdYkjDj Doge - DHgX7vJjBsmYcB1GgubGtu3TVJkqQgCG6B XMR - 484HoyS4h2fenvLKQkuUV7FwnJaGK8LMX43tiJ3UZdVU53d2MxFiQ1jbSfyorsXZVs1SvoPVh4nipjd7b4GVgFGmCgygdpV We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to http://Amazon.com and affiliated sites.
Views: 60858 VoskCoin
Stanford Seminar: Time Traveling Hardware and Software Systems
 
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EE380: Computer Systems Colloquium Time Traveling Hardware and Software Systems Srini Devadas , MIT With the imminent demise of Moore's Law, the importance of parallel computing is only increasing. However, efficient parallel computing with ease of programmability still remains elusive. Shared memory multiprocessors and online Transaction processing systems make it easier on the programmer. Current systems either exclusively use physical time to order transactions, or logical time (e.g., Lamport clocks) and are limited in performance and/or scalability. We introduce a new concept of time called physi-logical (physiological for ease of pronunciation!) time that combines the strengths of physical and logical time while avoiding their problems. The key advantage of physiological time is that it enables an application to move memory operations (load/stores) forward and backwards in time in order to avoid conflicts. We have designed, implemented and evaluated two time-traveling systems in the form of a new cache coherence protocol Tardis for multi-core CPUs and a new concurrency control algorithm TicToc for on-line transaction processing database systems. Both algorithms are simpler, more scalable, and perform better than existing state-of-the-art implementations. The talk will end with describing how physiological time can be used in a distributed operating environment. Speaker: Srini Devadas is the Webster Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT). He received his MS and PhD from the University of California, Berkeley in 1986 and 1988, respectively. He joined MIT in 1988 and served as Associate Head of the Department of Electrical Engineering and Computer Science, with responsibility for Computer Science, from 2005 to 2011. Devadas's research interests span Computer-Aided Design (CAD), computer security and computer architecture and he has received significant awards in each discipline including the A. Richard Newton Technical Impact award and the IEEE Computer Society Technical Achievement award. He is a Fellow of IEEE and ACM. He is a MacVicar Faculty Fellow and an Everett Moore Baker teaching award recipient, considered MIT's two highest undergraduate teaching honors. Speaker Abstract and Bio can be found here: http://ee380.stanford.edu/Abstracts/161109.html
Views: 956 stanfordonline
Graph:Traffic aware graph processing- IEEE PROJECTS 2018
 
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Graph:Traffic aware graph processing- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project BIG DATA 1. A Meta Path based Method for Entity Set Expansion in Knowledge Graph 2. Towards Green Cloud Computing: Demand Allocation and Pricing Policies for Cloud Service Brokerage 3. Security-Aware Resource Allocation for Mobile Social Big Data: A Matching Coalitional Game Solution 4. Revocable Identity-Based Access Control for Big Data with Verifiable Outsourced Computing 5. An Efficient and Fine-Grained Big Data Access Control Scheme With Privacy-Preserving Policy 6. HDM:A Compostable Framework for Big Data Processing 7. Dip-SVM : Distribution Preserving KernelSupport Vector Machine for Big Data 8. A Secure and Verifiable Access Control Scheme for Big Data Storage in Cloud 9. Game Theory Based Correlated Privacy Preserving Analysis in Big Data 10. Secure Authentication in Cloud Big Data with Hierarchical Attribute Authorization Structure 11. System to Recommend the Best Place to Live Based on Wellness State of the User Employing 12. Efficient Top-k Dominating Computation on Massive Data 13. Big Data Based Security Analytics for Protecting Virtualized Infrastructures in Cloud Computing 14. Disease Prediction by Machine Learning over Big Data from Healthcare Communities 15. Machine Learning with Big Data: Challenges and Approaches 16. Analyzing Healthcare Big Data with Predictionfor Future Health Condition 17. Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid 18. iShuffle: Improving Hadoop Performance with Shuffle-on-Write 19. Optimizing Share Size in Efficient and Robust Secret Sharing Scheme 20. Big data privacy in Biomedical research 21. Mining Human Activity Patterns From Smart Home Big Data for Health Care Applications 22. STaRS: Simulating Taxi Ride Sharing at Scale 23. Modeling Urban Behavior by Mining Geotagged Social Data 24. Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data 25. Managing Big data using Hadoop Map Reduce in Telecom Domain 26. A Security Model for Preserving the Privacy of Medical Big Data in a Healthcare Cloud Using a Fog Computing Facility with Pairing-Based Cryptography 27. Mutual Privacy Preservingk-Means Clustering in Social Participatory Sensing 28. Measuring Scale-Up and Scale-Out Hadoop with Remote and Local File Systems and Selecting the Best Platform 29. Efficient Recommendation of De-identification Policies using MapReduce CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS 1. RRPhish Anti-Phishing via Mining Brand Resources Request 2. Confidence-interval Fuzzy Model-based Indoor Localization COMPUTER-BASED MEDICAL SYSTEMS (CBMS) 1. Population Health Management exploiting Machine Learning Algorithms to identify High-Risk Patients (23 July 2018) PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1. Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition ( April 1 2018 ) 2. Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection 3. Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search
Secure Multiparty Computation Tal Rabin - Technion lecture part 2
 
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Secure Multiparty Computation - Tal Rabin of IBM Technion-Israel Institute of Technology lecture at Technion Computer Engineering 2014 summer school. Since it's introduction in 1982, the area of two and multi-party computation has been an exciting and vibrant research topic. The theoretical research in and the applications of multi-party computations are a source of beautiful results and great importance in the era of the internet and cloud computing. Solutions from this area provide enhanced security and privacy in our connected world. In this talk we will give a flavor of the techniques and discuss various applications introduced in the 30 years of innovation in the field.
Views: 1878 Technion
Why Operating a GPU Mining Farm SUCKS and 250% ZenCash Profitability
 
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Is GPU Mining dead and is my GPU ETH ZEC and ZenCash Mining Farm making any profits or am I sinking into endless debt? What to do when your GPU Rig is not working and ZenCash has risen over 200% as Teeka of Palm Beach Financial places a massive spotlight over ZenCash and the elite Zen team. Graphics Cards IN STOCK on Amazon - http://geni.us/nti5asr Mining Rig Parts IN STOCK on Amazon - http://geni.us/WQd7cCs VoskCoin Patreon - https://www.patreon.com/VoskCoin VoskCoin Steemit - https://steemit.com/@voskcoin VoskCoin Facebook - https://www.facebook.com/VoskCoin/ VoskCoin Reddit - https://www.reddit.com/r/voskcoin/ VoskCoin Discord Server Invite - https://discord.gg/FGGmS2z VoskCoin Twitter - https://twitter.com/VoskCoin VoskCoin Instagram - https://www.instagram.com/voskcoin/ VoskCoin Decentralized Tube - http://bit.ly/VoskCoindTube Build your own best bang for buck mining rig with these parts Cheapest 6x GPU Rig Frame - http://amzn.to/2gBWU4a Zotac 1080 Mini 8gb (6x) http://amzn.to/2zweEWM Zotac 1070 Mini 8gb (6x) http://amzn.to/2xMruhB Zotac 1060 mini 6gb (6x) http://amzn.to/2gOOIxK Gigabyte z270 d3 mobo http://amzn.to/2yvLVmh Intel g4400 CPU http://amzn.to/2yvIUTh ATX power switch http://amzn.to/2zxp4pe Ram http://amzn.to/2gOnmYK EVGA 750w PSU http://amzn.to/2hNSKpQ Parallel Miner 1500w (750w x2) and 750w https://goo.gl/SJjNTb and https://goo.gl/ZFckQc ATX mobo adapter https://goo.gl/BDbcGD & https://goo.gl/5G6pHU Velcro (exact type used) http://amzn.to/2zgKDt8 Arctic Freeze Thermal Paste kit http://amzn.to/2zi6TD5 PCIE Risers http://amzn.to/2xMTKQY Add2PSU http://amzn.to/2xMtVAM Mining software used is nvOC made by fullzero https://goo.gl/pYgo8B VoskCoin Official Donation Addresses, support appreciated! BTC - 12PsgKuhcJrEqJbD3oMN7rcEcuyqyqRznL ETH - 0xDEe6A2ae293F8C58Ef71649658344BbF382b6e70 ZEC - t1WRoxHVh8vhDJxAr6vpP4zzj3xHGF9ZbgQ ZEN - znb1iNFP6VctF2AhXLXtMsSjP7emvYDmeXR VTC - VdeggL7drzbYeB2eedDeDYe9xPwtPXW8KG KMD - RCbKFSQhNWCqSwuFY8cGwzhDk8zMdYkjDj Doge - DHgX7vJjBsmYcB1GgubGtu3TVJkqQgCG6B XMR - 484HoyS4h2fenvLKQkuUV7FwnJaGK8LMX43tiJ3UZdVU53d2MxFiQ1jbSfyorsXZVs1SvoPVh4nipjd7b4GVgFGmCgygdpV We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to http://Amazon.com and affiliated sites.
Views: 50446 VoskCoin