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Digital Signatures
 
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This video is part of the Udacity course "Intro to Information Security". Watch the full course at https://www.udacity.com/course/ud459
Views: 56905 Udacity
Symmetric Key and Public Key Encryption
 
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Modern day encryption is performed in two different ways. Check out http://YouTube.com/ITFreeTraining or http://itfreetraining.com for more of our always free training videos. Using the same key or using a pair of keys called the public and private keys. This video looks at how these systems work and how they can be used together to perform encryption. Download the PDF handout http://itfreetraining.com/Handouts/Ce... Encryption Types Encryption is the process of scrambling data so it cannot be read without a decryption key. Encryption prevents data being read by a 3rd party if it is intercepted by a 3rd party. The two encryption methods that are used today are symmetric and public key encryption. Symmetric Key Symmetric key encryption uses the same key to encrypt data as decrypt data. This is generally quite fast when compared with public key encryption. In order to protect the data, the key needs to be secured. If a 3rd party was able to gain access to the key, they could decrypt any data that was encrypt with that data. For this reason, a secure channel is required to transfer the key if you need to transfer data between two points. For example, if you encrypted data on a CD and mail it to another party, the key must also be transferred to the second party so that they can decrypt the data. This is often done using e-mail or the telephone. In a lot of cases, sending the data using one method and the key using another method is enough to protect the data as an attacker would need to get both in order to decrypt the data. Public Key Encryption This method of encryption uses two keys. One key is used to encrypt data and the other key is used to decrypt data. The advantage of this is that the public key can be downloaded by anyone. Anyone with the public key can encrypt data that can only be decrypted using a private key. This means the public key does not need to be secured. The private key does need to be keep in a safe place. The advantage of using such a system is the private key is not required by the other party to perform encryption. Since the private key does not need to be transferred to the second party there is no risk of the private key being intercepted by a 3rd party. Public Key encryption is slower when compared with symmetric key so it is not always suitable for every application. The math used is complex but to put it simply it uses the modulus or remainder operator. For example, if you wanted to solve X mod 5 = 2, the possible solutions would be 2, 7, 12 and so on. The private key provides additional information which allows the problem to be solved easily. The math is more complex and uses much larger numbers than this but basically public and private key encryption rely on the modulus operator to work. Combing The Two There are two reasons you want to combine the two. The first is that often communication will be broken into two steps. Key exchange and data exchange. For key exchange, to protect the key used in data exchange it is often encrypted using public key encryption. Although slower than symmetric key encryption, this method ensures the key cannot accessed by a 3rd party while being transferred. Since the key has been transferred using a secure channel, a symmetric key can be used for data exchange. In some cases, data exchange may be done using public key encryption. If this is the case, often the data exchange will be done using a small key size to reduce the processing time. The second reason that both may be used is when a symmetric key is used and the key needs to be provided to multiple users. For example, if you are using encryption file system (EFS) this allows multiple users to access the same file, which includes recovery users. In order to make this possible, multiple copies of the same key are stored in the file and protected from being read by encrypting it with the public key of each user that requires access. References "Public-key cryptography" http://en.wikipedia.org/wiki/Public-k... "Encryption" http://en.wikipedia.org/wiki/Encryption
Views: 480846 itfreetraining
Stanford Computer Forum: Applications of VRF by Dominic Williams (String Labs)
 
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Dominic Williams, CTO of String Labs, presents at Stanford Computer Forum on applications of Verifiable Random Function (VRF). = Abstract = We argue that a source of unmanipulable and unpredictable random values provides the most effective means to drive and organize decentralized networks and their higher-level applications. We demonstrate this idea by introducing two ingenious systems. Firstly we review how a network can use a “Threshold Relay” system that applies unique deterministic threshold signature cryptography (Dan Boneh’s BLS signature scheme) as a VRF to produce such a sequence of random values, further exploring how a robust high performance blockchain can be built upon the framework. Then we review how a network created using Threshold Relay can host “smart contract” software implementing an autonomous commercial banking system that applies generated randomness to give out loans algorithmically. String Labs is currently incorporating both methodologies into the DFINITY and Phi projects.
Views: 1238 Tom Ding
The Basics of Understanding Algorithm Runtime
 
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Please give it a thumbs up if you liked the video! Thanks Video project for CIS4930 Special Topics and Algorithms. This video covers the basics of understanding the runtime for algorithms. The question I had when learning this was, "Where is the number coming from that is being compared to the 'n'?... Once I figured out that the number was basically a count of the number of times a for loop actually looped, well, life became much easier for me in regards to understanding runtime. I hope this video helps you have a better understanding of the basics of algorithm runtime. Please feel free to leave a comment for any other computer science related concepts for which you would like to see a video.
Views: 13023 D. Roy
How SVM (Support Vector Machine) algorithm works
 
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In this video I explain how SVM (Support Vector Machine) algorithm works to classify a linearly separable binary data set. The original presentation is available at http://prezi.com/jdtqiauncqww/?utm_campaign=share&utm_medium=copy&rc=ex0share
Views: 524265 Thales Sehn Körting
What are the Innovations Behind DFINITY? | INSIDE DFINITY
 
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I sat down with Mahnush who joined the DFINITY team early on to talk about the various innovations that DFINITY will release. We cover terms such as Threshold Signatures, Random Beacon and Distributed Key Generation. We not only speak about these concepts but cover why they are so important. Topics Discussed: [1:40] Secure Multi-Party Computation [2:45] Cloud Computing [6:30] Practical Byzantine Fault Tolerance Protocol [7:30] Blockchain Protocols [8:30] Proof of Work [11:20] The Way DFINITY Creates Randomness [12:05] Threshold Cryptography [13:05] Uniqueness [15:51] DKG (Distributed Key Generation) [20:09] Sharding [20:50] Complete Proof in an Asynchronous Network [22:00] Non-Interactive DKG (Distributed Key Generation) [22:30] DFINTY's Sharding System [24:19] Block Time & Finality About Cédric: Cédric Waldburger joined DFINITY early on and is now focusing on the Growth. He leads the initiatives on Developer and Mining adoption, alongside with heading some of DFINITY's partnerships. Prior to joining DFINITY, he's been a founder and investor and has been a crypto enthusiast since 2012. He has been passionate about startups. Having founded his first company at the age of 14, he has built various tech companies related to productivity, computer vision, and cryptocurrencies. In this immensely exciting and obliging journey, he instigates the avenues of bringing the maximum impact wherever he can and is skilled to. For accomplishing this journey and his drive, he hasn't owned an apartment in several years. Instead, he has since lived out of a bag with only 64 things. About DFINITY: The DFINITY project was formed to research ways of enabling public decentralized networks to host a virtual computer of unlimited capacity. This rests upon a new blockchain computer that is similar in concept to Ethereum but has vastly improved performance and, ultimately, unlimited capacity. Follow Cédric: Blog: http://www.cedricwaldburger.com YouTube: http://www.youtube.com/cedricwaldburger Instagram: http://www.instagram.com/cedricwaldburger/ Facebook (private): http://www.facebook.com/cediwaldburger Twitter: http://www.twitter.com/cediwaldburger Follow DFINITY: Blog: http://medium.com/dfinity YouTube: https://www.youtube.com/dfinity Facebook: https://www.facebook.com/dfinity.org/ Twitter: http://twitter.com/dfinity Reddit: http://reddit.com/r/dfinity Telegram: https://t.me/dfinity Rocket.Chat: https://dfinity.rocket.chat/
Views: 802 DFINITY
Digital signature
 
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A digital signature is a mathematical scheme for demonstrating the authenticity of a digital message or document. A valid digital signature gives a recipient reason to believe that the message was created by a known sender, such that the sender cannot deny having sent the message (authentication and non-repudiation) and that the message was not altered in transit (integrity). Digital signatures are commonly used for software distribution, financial transactions, and in other cases where it is important to detect forgery or tampering. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 232 Audiopedia
GSA Cloud Reverse Industry Training Event
 
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This Reverse Industry Training (RIT) will focus on Cloud adoption and migration for Federal agencies. Hear industry representatives share insights, challenges and benefits to Cloud adoption. The event will be presented through a series of sessions utilizing case studies and panel discussions. The purpose of the Cloud RIT is to address the issues and concerns that potentially prevent agencies from moving to the Cloud.
12/6/18 Census Scientific Advisory Committee (CSAC) Meeting (Day 1)
 
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12/6/18 Census Scientific Advisory Committee (CSAC) Meeting (Day 1) 8:30AM - 5PM
Views: 874 uscensusbureau
caesar
 
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Views: 84343 CS50
Computer engineer | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Computer_engineering 00:02:03 1 History 00:03:14 1.1 History of Computer Engineering Education 00:04:38 2 Education 00:06:37 3 Applications & Practice 00:06:47 3.1 Computer hardware engineering 00:07:57 3.2 Computer software engineering 00:09:53 4 Specialty areas 00:10:10 4.1 Coding, cryptography, and information protection 00:10:51 4.2 Communications and wireless networks 00:11:33 4.3 Compilers and operating systems 00:12:12 4.4 Computational science and engineering 00:13:09 4.5 Computer networks, mobile computing, and distributed systems 00:13:55 4.6 Computer systems: architecture, parallel processing, and dependability 00:14:50 4.7 Computer vision and robotics 00:15:36 4.8 Embedded systems 00:16:39 4.9 Integrated circuits, VLSI design, testing and CAD 00:17:26 4.10 Signal, image and speech processing 00:18:02 4.11 Quantum computing 00:18:12 5 See also 00:18:21 5.1 Related fields Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.7873723646839674 Voice name: en-US-Wavenet-B "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Computer engineering is a branch of engineering that integrates several fields of computer science and electronics engineering required to develop computer hardware and software. Computer engineers usually have training in electronic engineering (or electrical engineering), software design, and hardware–software integration instead of only software engineering or electronic engineering. Computer engineers are involved in many hardware and software aspects of computing, from the design of individual microcontrollers, microprocessors, personal computers, and supercomputers, to circuit design. This field of engineering not only focuses on how computer systems themselves work, but also how they integrate into the larger picture.Usual tasks involving computer engineers include writing software and firmware for embedded microcontrollers, designing VLSI chips, designing analog sensors, designing mixed signal circuit boards, and designing operating systems. Computer engineers are also suited for robotics research, which relies heavily on using digital systems to control and monitor electrical systems like motors, communications, and sensors. In many institutions, computer engineering students are allowed to choose areas of in-depth study in their junior and senior year, because the full breadth of knowledge used in the design and application of computers is beyond the scope of an undergraduate degree. Other institutions may require engineering students to complete one or two years of General Engineering before declaring computer engineering as their primary focus.
Views: 2 wikipedia tts
Review: Quiz 0
 
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Views: 5540 CS50
Privacy, Security, Society - Computer Science for Business Leaders 2016
 
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Apple versus FBI; encryption; Dropbox.
Views: 57096 CS50
Commerce Data Advisory Committee Meeting on July 30, 2015
 
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The Commerce Data Advisory Council (CDAC) is holding its second meeting at Intel’s Headquarters in Santa Clara, California on Thursday, July 30. Appointed by Secretary Pritzker, the 19-member council provides guidance on areas such as data management practices; common, open data standards; policy issues related to privacy, latency, and consistency; effective models for public-private partnership; external uses of Commerce data; and methods to build new feedback loops between the Department and data users. The council is comprised of leading technologists and data leaders who work for some of the most innovate public and private sector organizations, including: Intel, Google, IBM, LinkedIn, PayPal, Amazon Web Services, City of San Francisco, Indiana University, and more. Throughout the day, Commerce officials will update the council members on the Department's new data initiatives including the U.S. Patent and Trademark Office’s “Open Data Initiative” and the Census Bureau’s income and wealth data project. Commerce Department leaders will also discuss government-wide strategies to recruit tech talent to the public sector and establish new partnerships with industry.
Computer Engineering | Wikipedia audio article
 
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This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Computer_engineering 00:01:41 1 History 00:02:41 1.1 History of Computer Engineering Education 00:03:52 2 Education 00:05:30 3 Applications & Practice 00:05:39 3.1 Computer hardware engineering 00:06:37 3.2 Computer software engineering 00:08:13 4 Specialty areas 00:08:28 4.1 Coding, cryptography, and information protection 00:09:04 4.2 Communications and wireless networks 00:09:40 4.3 Compilers and operating systems 00:10:14 4.4 Computational science and engineering 00:11:02 4.5 Computer networks, mobile computing, and distributed systems 00:11:41 4.6 Computer systems: architecture, parallel processing, and dependability 00:12:28 4.7 Computer vision and robotics 00:13:07 4.8 Embedded systems 00:14:00 4.9 Integrated circuits, VLSI design, testing and CAD 00:14:41 4.10 Signal, image and speech processing 00:15:12 4.11 Quantum computing 00:15:20 5 See also 00:15:29 5.1 Related fields Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.929388329581848 Voice name: en-US-Wavenet-A "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Computer engineering is a branch of engineering that integrates several fields of computer science and electronics engineering required to develop computer hardware and software. Computer engineers usually have training in electronic engineering (or electrical engineering), software design, and hardware–software integration instead of only software engineering or electronic engineering. Computer engineers are involved in many hardware and software aspects of computing, from the design of individual microcontrollers, microprocessors, personal computers, and supercomputers, to circuit design. This field of engineering not only focuses on how computer systems themselves work, but also how they integrate into the larger picture.Usual tasks involving computer engineers include writing software and firmware for embedded microcontrollers, designing VLSI chips, designing analog sensors, designing mixed signal circuit boards, and designing operating systems. Computer engineers are also suited for robotics research, which relies heavily on using digital systems to control and monitor electrical systems like motors, communications, and sensors. In many institutions, computer engineering students are allowed to choose areas of in-depth study in their junior and senior year, because the full breadth of knowledge used in the design and application of computers is beyond the scope of an undergraduate degree. Other institutions may require engineering students to complete one or two years of General Engineering before declaring computer engineering as their primary focus.
Views: 2 wikipedia tts