Home
Search results “Pseudo random numbers cryptography”

06:41

11:37
Views: 2885 intrigano

42:52
Pseudo random number generators; stream ciphers. Course material via: http://sandilands.info/sgordon/teaching
Views: 2580 Steven Gordon

13:30
Views: 13221 Eddie Woo

19:39
Views: 4045 intrigano

01:42
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 9643 Udacity

13:59
Back to School Special. This short series will discuss pseudo random number generators (PRNGs), look at how they work, some algorithms for PRNGs, and how they are used. Support Coding Math: http://patreon.com/codingmath Source Code: https://jsbin.com/nifutup/1/edit?js,output Earlier Source Code: http://github.com/bit101/codingmath
Views: 30173 Coding Math

05:18
I do an example of finding pseudorandom numbers.
Views: 1438 Michael Venn

01:05:35
Pseudo random number generators; Linear Congruential Generator. Lecture 7 of CSS322 Security and Cryptography at Sirindhorn International Institute of Technology, Thammasat University. Given on 12 December 2013 at Bangkadi, Pathumthani, Thailand by Steven Gordon. Course material via: http://sandilands.info/sgordon/teaching
Views: 22686 Steven Gordon

01:21:25
MIT's Spring 2018 Cryptography & Cryptanalysis Class (6.875) Prof. Vinod Vaikuntanathan
Views: 324 Andrew Xia

19:48
Cryptography Stream ciphers and pseudo random generators To get certificate subscribe: https://www.coursera.org/learn/crypto Playlist URL: https://www.youtube.com/playlist?list=PL2jykFOD1AWYosqucluZghEVjUkopdD1e About this course: Cryptography is an indispensable tool for protecting information in computer systems. In this course you will learn the inner workings of cryptographic systems and how to correctly use them in real-world applications. The course begins with a detailed discussion of how two parties who have a shared secret key can communicate securely when a powerful adversary eavesdrops and tampers with traffic. We will examine many deployed protocols and analyze mistakes in existing systems. The second half of the course discusses public-key techniques that let two parties generate a shared secret key.
Views: 757 intrigano

19:12
Peter Faiman White Hat VP, talks about pseudo-random number generators (PRNGs), random number quality, and the importance of unpredictable random numbers to cryptography.
Views: 3085 White Hat Cal Poly

01:29:39
For slides, a problem set and more on learning cryptography, visit www.crypto-textbook.com

28:24
Views: 8014 Internetwork Security

09:47
Proofs in Cryptography Lecture 5 Pseudo Random Generators ALPTEKİN KÜPÇÜ Assistant Professor of Computer Science and Engineering Koç University http://crypto.ku.edu.tr
Views: 3026 KOLT KU

14:19
Viewers like you help make PBS (Thank you 😃) . Support your local PBS Member Station here: https://to.pbs.org/donateinfi What is a the difference between a random and a pseudorandom number? And what can pseudo random numbers allow us to do that random numbers can't? Tweet at us! @pbsinfinite Facebook: facebook.com/pbsinfinite series Email us! pbsinfiniteseries [at] gmail [dot] com Previous Episode How many Cops to catch a Robber? | Infinite Series https://www.youtube.com/watch?v=fXvN-pF76-E Computers need to have access to random numbers. They’re used to encrypt information, deal cards in your game of virtual solitaire, simulate unknown variables -- like in weather prediction and airplane scheduling, and so much more. But How can a computer possibly produce a random number? Written and Hosted by Kelsey Houston-Edwards Produced by Rusty Ward Graphics by Ray Lux Assistant Editing and Sound Design by Mike Petrow Made by Kornhaber Brown (www.kornhaberbrown.com) Special Thanks to Alex Townsend Big thanks to Matthew O'Connor and Yana Chernobilsky who are supporting us on Patreon at the Identity level! And thanks to Nicholas Rose and Mauricio Pacheco who are supporting us at the Lemma level!
Views: 129587 PBS Infinite Series

57:57
True and pseudo random numbers; Linear Congruential Generator. Course material via: http://sandilands.info/sgordon/teaching
Views: 3537 Steven Gordon

05:34
What is PSEUDORANDOM NUMBER GENERATOR? What does PSEUDORANDOM NUMBER GENERATOR mean? PSEUDORANDOM NUMBER GENERATOR meaning - PSEUDORANDOM NUMBER GENERATOR definition - PSEUDORANDOM NUMBER GENERATOR explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. A pseudorandom number generator (PRNG), also known as a deterministic random bit generator (DRBG), is an algorithm for generating a sequence of numbers whose properties approximate the properties of sequences of random numbers. The PRNG-generated sequence is not truly random, because it is completely determined by a relatively small set of initial values, called the PRNG's seed (which may include truly random values). Although sequences that are closer to truly random can be generated using hardware random number generators, pseudorandom number generators are important in practice for their speed in number generation and their reproducibility. PRNGs are central in applications such as simulations (e.g. for the Monte Carlo method), electronic games (e.g. for procedural generation), and cryptography. Cryptographic applications require the output not to be predictable from earlier outputs, and more elaborate algorithms, which do not inherit the linearity of simpler PRNGs, are needed. Good statistical properties are a central requirement for the output of a PRNG. In general, careful mathematical analysis is required to have any confidence that a PRNG generates numbers that are sufficiently close to random to suit the intended use. John von Neumann cautioned about the misinterpretation of a PRNG as a truly random generator, and joked that "Anyone who considers arithmetical methods of producing random digits is, of course, in a state of sin." A PRNG can be started from an arbitrary initial state using a seed state. It will always produce the same sequence when initialized with that state. The period of a PRNG is defined thus: the maximum, over all starting states, of the length of the repetition-free prefix of the sequence. The period is bounded by the number of the states, usually measured in bits. However, since the length of the period potentially doubles with each bit of "state" added, it is easy to build PRNGs with periods long enough for many practical applications. If a PRNG's internal state contains n bits, its period can be no longer than 2n results, and may be much shorter. For some PRNGs, the period length can be calculated without walking through the whole period. Linear Feedback Shift Registers (LFSRs) are usually chosen to have periods of exactly 2n-1. Linear congruential generators have periods that can be calculated by factoring. Although PRNGs will repeat their results after they reach the end of their period, a repeated result does not imply that the end of the period has been reached, since its internal state may be larger than its output; this is particularly obvious with PRNGs with a one-bit output. Most PRNG algorithms produce sequences which are uniformly distributed by any of several tests. It is an open question, and one central to the theory and practice of cryptography, whether there is any way to distinguish the output of a high-quality PRNG from a truly random sequence, knowing the algorithms used, but not the state with which it was initialized. The security of most cryptographic algorithms and protocols using PRNGs is based on the assumption that it is infeasible to distinguish use of a suitable PRNG from use of a truly random sequence. The simplest examples of this dependency are stream ciphers, which (most often) work by exclusive or-ing the plaintext of a message with the output of a PRNG, producing ciphertext. The design of cryptographically adequate PRNGs is extremely difficult, because they must meet additional criteria (see below). The size of its period is an important factor in the cryptographic suitability of a PRNG, but not the only one. A PRNG suitable for cryptographic applications is called a cryptographically secure PRNG (CSPRNG). A requirement for a CSPRNG is that an adversary not knowing the seed has only negligible advantage in distinguishing the generator's output sequence from a random sequence. In other words, while a PRNG is only required to pass certain statistical tests, a CSPRNG must pass all statistical tests that are restricted to polynomial time in the size of the seed. Though a proof of this property is beyond the current state of the art of computational complexity theory, strong evidence may be provided by reducing the CSPRNG to a problem that is assumed to be hard, such as integer factorization. In general, years of review may be required before an algorithm can be certified as a CSPRNG.
Views: 3664 The Audiopedia

40:42
Audio/Video Recording of Professor Raj Jain's class lecture on Pseudorandom Number Generation and Stream Ciphers. It covers Pseudo Random Numbers, A Sample Generator, Terminology, Linear-Congruential Generators, Blum Blum Shub Generator, Random & Pseudorandom Number Generators, Using Block Ciphers as PRNGs, ANSI X9.17 PRG, Natural Random Noise, Stream Ciphers, RC4, RC4 Key Schedule, RC4 Encryption, RC4
Views: 5020 Raj Jain

30:26
Views: 249 Decision modeling

04:49
Views: 192623 Seeker

01:20
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 2828 Udacity

19:48
Introduction to Cryptography - I ===================== Materials (video, slides, english subtitles) from / Stanford Introduction to Cryptography Slides & Subtitle Link: http://www.mediafire.com/file/rr8pnxag9kpe3g7/Crypto-I.rar/file About this Course: Cryptography is an indispensable tool for protecting information in computer systems. In this course you will learn the inner workings of cryptographic systems and how to correctly use them in real-world applications. The course begins with a detailed discussion of how two parties who have a shared secret key can communicate securely when a powerful adversary eavesdrops and tampers with traffic. We will examine many deployed protocols and analyze mistakes in existing systems. The second half of the course discusses public-key techniques that let two parties generate a shared secret key. Throughout the course participants will be exposed to many exciting open problems in the field and work on fun (optional) programming projects. In a second course (Crypto II) we will cover more advanced cryptographic tasks such as zero-knowledge, privacy mechanisms, and other forms of encryption. SKILLS YOU WILL GAIN During the 66 Video in this Course: 1 - Cryptography, 2 - Cryptographic Attacks, 3 - Public-Key Cryptography, 4 - Symmetric-Key Algorithm,
Views: 307 TO Courses

28:12
Previous video: https://youtu.be/g3iH74XFaT0 Next video:
Views: 1552 Leandro Junes

14:04
This time we look at a couple of existing PRNG libraries available in JavaScript, and look at some examples of how PRNGs can be used in cryptography, games, and generative art. Support Coding Math: http://patreon.com/codingmath Source Code: Crypto: http://jsbin.com/kipequk/2/edit?js,console Landscape: http://jsbin.com/zizeje/1/edit?js,output Circles: http://jsbin.com/zizeje/2/edit?js,output
Views: 6380 Coding Math

10:14
An introduction to linear feedback shift registers, and their use in generating pseudorandom numbers for Vernam ciphers. For more cryptography, subscribe to my channel: https://www.youtube.com/channel/UC1KV5WfubHTV6E7sVCnTidw
Views: 36361 Jeff Suzuki

01:18:35
Spring 2018 Cryptography & Cryptanalysis Prof. Vinod Vaikuntanathan
Views: 309 Andrew Xia

03:13
Part 1 of a 3 part lesson on Pseudo Random Number Generators (PRNGs)

50:07
PRNGs with block ciphers in counter and OFB mode; ANSI X9.17; RC4. Course material via: http://sandilands.info/sgordon/teaching
Views: 1507 Steven Gordon

50:14
Buy any Solar panel with discount- http://bit.ly/2RgM313 http://www.atozsky.com/ https://www.facebook.com/atozsky.computer/ All credits goes to NIELIT, Delhi INDIA
Views: 578 AtoZ COMPUTER

42:23
05 Aug 2014 - Bsides Las Vegas 2014 Joe "moloch" - Bishop Fox Dan "AltF4" Petro - Bishop Fox http://www.bishopfox.com http://www.bishopfox.com/blog/2014/08/untwisting-mersenne-twister-killed-prng/ http://www.irongeek.com/i.php?page=videos/bsideslasvegas2014/bg04-untwisting-the-mersenne-twister-how-i-killed-the-prng-moloch Untwisting The Mersenne Twister: How I killed the PRNG Applications rely on generating random numbers to provide security, and fail catastrophically when these numbers turn out to be not so “random.” For penetration testers, however, the ability to exploit these systems has always been just out of reach. To solve this problem, we’ve created “untwister:” an attack tool for breaking insecure random number generators and recovering the initial seed. We did all the hard math, so you don't have to! Random numbers are often used in security contexts for generating unique IDs, new passwords for resets, or cryptographic nonces. However, the built-in random number generators for most languages and frameworks are insecure, leaving applications open to a series of previously theoretical attacks. Lots of papers have been written on PRNG security, but there's still almost nothing practical you can use as a pentester to actually break live systems in the wild. This talk focuses on weaponizing what used to be theoretical into our tool: untwister. Let's finally put rand() to rest. DISCLAIMER: This video is intended for pentesting training purposes only.
Views: 4670 Bishop Fox

36:19

19:48
Lectures on Introduction to Cryptography.
Views: 62 Wobbly Bit

30:56
Views: 895 Dr. Julian Hosp

01:14
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 3828 Udacity

26:26
Subject:Information Technology Paper: Information security
Views: 133 Vidya-mitra

01:06:16
Pseudorandom generators (definitions and constructions; the hybrid method), a lecture by Benny Applebaum. The topic of the 4th Annual Bar-Ilan Winter School on Cryptography held in January 2014, was Symmetric Encryption in Theory and in Practice. The winter school studied symmetric encryption in theory and in practice, and included a study of the theoretical foundations of symmetric encryption on the one hand, and practical constructions and cryptanalysis on the other hand. As every year, the event organizers were Prof. Yehuda Lindell and Prof. Benny Pinkas, of BIU's Department of Computer Science. This year,the Winter School featured speakers from such institutions as the Royal Holloway at the University of London , and the University of Wisconsin - Madison. For all videos of this playlist: https://www.youtube.com/playlist?list=PLXF_IJaFk-9BmvxWhnxPId32CPJhVtU6D 4th Annual Bar-Ilan Winter School on Cryptography: http://crypto.biu.ac.il/winterschool2014/ Prof. Lindell's Lab http://www1.biu.ac.il/indexE.php?id=8043&pt=30&pid=7711&level=2&cPath=7702,7711,8043 Prof. Pinkas' Lab http://www1.biu.ac.il/indexE.php?id=8046&pt=30&cPath=7702,7711,8046 Dept. of Computer Science: http://cs.biu.ac.il/en/ Bar-Ilan University: http://www1.biu.ac.il/en
Views: 728 barilanuniversity

17:02
Previous video: https://youtu.be/uTlZHRa-ZkM Next video: https://youtu.be/KCcJE8l__H0
Views: 499 Leandro Junes

12:48
Previous video: https://youtu.be/KuthrX4G1ss Next video: https://youtu.be/FhrsUCICh-Y
Views: 1068 Leandro Junes

01:00
So long pseudo-random numbers. Quantum mechanics is making encryption much stronger.
Views: 58 Sara Peters

33:51

04:26
Crypto 2011 Rump session presentation for Abhishek Banerjee, Chris Peikert, Alon Rosen, talk given by Chris Peikert
Views: 660 TheIACR

43:22
A pseudo-random number generator (PRNG) is a deterministic algorithm that produces numbers whose distribution is indistinguishable from uniform. A formal security model for PRNG with input was proposed in 2005 by Barak and Halevi. This model involves an internal state that is refreshed with a (potentially biased) external random source, and a cryptographic function that outputs random numbers from the internal state. In this talk, we will discuss the Barak-Halevi model and its extension proposed in 2013 by Dodis, Pointcheval, Ruhault, Wichs and Vergnaud to include a new security property capturing how a PRNG should accumulate the entropy of the input data into the internal state. We will present analysis of the security of real-life PRNGs in this model and present efficient constructions that achieve provable security.
Views: 200 ECRYPT

29:46
Paper by Daniele Micciancio presented at EUROCRYPT 2019. See https://iacr.org/cryptodb/data/paper.php?pubkey=29381
Views: 86 TheIACR

01:23:06
Pseudorandom functions and permutations (definitions and constructions) , a lecture by Iftach Haitner. The topic of the 4th Annual Bar-Ilan Winter School on Cryptography held in January 2014, was Symmetric Encryption in Theory and in Practice. The winter school studied symmetric encryption in theory and in practice, and included a study of the theoretical foundations of symmetric encryption on the one hand, and practical constructions and cryptanalysis on the other hand. As every year, the event organizers were Prof. Yehuda Lindell and Prof. Benny Pinkas, of BIU's Department of Computer Science. This year,the Winter School featured speakers from such institutions as the Royal Holloway at the University of London , and the University of Wisconsin - Madison. For all videos of this playlist: https://www.youtube.com/playlist?list=PLXF_IJaFk-9BmvxWhnxPId32CPJhVtU6D 4th Annual Bar-Ilan Winter School on Cryptography: http://crypto.biu.ac.il/winterschool2014/ Prof. Lindell's Lab http://www1.biu.ac.il/indexE.php?id=8043&pt=30&pid=7711&level=2&cPath=7702,7711,8043 Prof. Pinkas' Lab http://www1.biu.ac.il/indexE.php?id=8046&pt=30&cPath=7702,7711,8046 Dept. of Computer Science: http://cs.biu.ac.il/en/ Bar-Ilan University: http://www1.biu.ac.il/en
Views: 1375 barilanuniversity

01:04:17
Raghu Meka, UCLA https://simons.berkeley.edu/talks/pseudorandom-generators-1 Pseudorandomness Boot Camp
Views: 1151 Simons Institute

00:47
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 868 Udacity

20:10
Twenty minute introduction to randomness and pseudorandom number generators, with demos. The New Mexico CS for All project is teaching computational thinking and programming. Production supported by the National Science Foundation, award # CNS 1240992
Views: 28712 Dave Ackley

02:09
This project presents a quantum random number generator for a multitude of cryptographic applications based on the alpha decay of a household radioactive source.
Views: 699 BTYoungScientists

00:57
Cryptographically secure pseudorandom number generator Top # 7 Facts
Views: 93 Duryodhan Trivedi