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Views: 1057630 3Blue1Brown

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Views: 42344 Professor Messer

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1. Electronic Code Book Mode 2. Cipher Block Chaining Mode 3. Output Feedback Mode 4. Cipher Feedback Mode 5. Counter Mode

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Views: 6830 The Audiopedia

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Diffie Hellman has a flaw. Dr Mike Pound explains how a man in the middle could be a big problem, unless we factor it in... Public Key Cryptography: https://youtu.be/GSIDS_lvRv4 Elliptic Curve Cryptography: Coming Soon! https://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: https://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Views: 129730 Computerphile

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Views: 16665 Professor Messer

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https://8gwifi.org/CipherFunctions.jsp Reference book: http://leanpub.com/crypto Cryptographic Algorithms generally fall into one of two different categories, or are a combination of both. Symmetric Fast Only provide confidentiality Examples: DES, AES, Blowfish, RC4, RC5 Asymmetric Large mathematical operations make it slower than symmetric algorithms No need for out of band key distribution (public keys are public!) Scales better since only a single key pair needed per individual Can provide authentication and nonrepudiation Examples: RSA, El Gamal, ECC, Diffie-Hellman problem with symmetric key cryptography DES (Data Encryption Standard) 64 bit key that is effectively 56 bits in strength Actual algorithm is called DEA (Data Encryption Algorithm) DES Modes Electronic Code Book Cipher Block Chaining (most commonly used for general purpose encryption) Cipher Feedback Output Feedback Counter Mode (used in IPSec) 3DES 112-bit effective key length Uses either 2 or 3 different smaller keys in one of several modes Modes EEE2/3 EDE2/3 AES NIST replaced DES in 1997 with this Uses the Rijndael algorithm Supports key/block sizes of 128, 192, and 256 bits Uses 10/12/14 rounds as block size increases IDEA (International Data Encryption Algorithm) Operates on 64 bit blocks in 8 rounds with 128 bit key Considered stronger than DES and is used in PGP Blowfish 64 bit block cipher with up to 448 bit key and 16 rounds Designed by Bruce Schneier RC4 Stream cipher with variable key size created by Ron Rivest RC5 Another Rivest cipher Block cipher with 32/64/128 bit blocks and keys up to 2048 bits RC6 Beefier version of RC5 submitted as AES candidate CAST 64 bit block cipher with keys between 40-128 bits with 12-16 rounds depending on key length CAST-256 used 128-bit blocks and keys from 128-256 bits using 48 rounds SAFER (Secure and Fast Encryption Routine) Set of patent-free algorithms in 64 and 128 bit block variants Variation used in Bluetooth Twofish Adapted version of Blowfish with 128 bit blocks, 128-256 bit keys and 16 rounds AES Finalist Kryptografie mit symmetrischem Schlüssel symmetric key cryptography symmetric key cryptography tutorial symmetric key cryptography example symmetric key cryptography vs asymmetric key cryptography symmetric and asymmetric key cryptography symmetric key cryptography Kryptografie mit symmetrischem Schlüssel Kryptographie mit symmetrischem Schlüssel Kryptographie mit symmetrischem Schlüssel Kryptografie mit symmetrischem Schlüssel und asymmetrische Schlüsselkryptographie symmetrische und asymmetrische Schlüsselkryptographie Kryptografie mit symmetrischem Schlüssel
Views: 42400 Zariga Tongy

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RIPEMD 160 hash algorithm https://hash.onlinetoolsland.com/ripemd/ The whole name of RIPEMD is RACE Integrity Primitives Evaluation Message Digest. RIPEMD a family of cryptographic hash functions developed by Hans Dobbertin, Antoon Bosselaers and Bart Preneel RIPEMD is published in 1996. RIPEMD-160 is an improved version of the original RIPEMD RIPEMD-160 has a 160-bit length ,and is the most common used version in the RIPEMD family. there are 128, 256 and 320-bit versions of RIPEMD algorithm,RIPEMD-128 is designed to replacement for the original RIPEMD. In 2004, a hash collision was reported for the original RIPEMD algorithm . The RIPEMD-160 hash algorithm is open to the public from the beginning , unlike the sha-1 and sha-2 algorithms. Which is developed by the NSA. https://hash.onlinetoolsland.com/ripemd/ The RIPEMD-160 hash algorithm is not used as frequently as the SHA-1 algorithm , but it is not get constrained by any patents. The 128 bit RIPEMD-128 was invented as a replacement for the initial RIPEMD algorithm , the initial RIPEMD algorithm was also 128 bit, but the security of the original RIPEMD algorithm is questionable. The RIPEMD-256 and RIPEMD-320 versions only diminish the possibility of accidental collision, but their security level is not as high as the RIPEMD-128 and RIPEMD-160 algorithm . The RIPEMD-160 hash algorithm contain 160bit data, which is also known as the RIPE message digests, the 160 bit data is represented as 40-digit hexadecimal numbers. The following data show us a 43 byte length of ascii input and the result RIPEMD-160 hash: RIPEMD-160("The quick brown fox jumps over the lazy dog") = 37f332f68db77bd9d7edd4969571ad671cf9dd3b The RIPEMD-160 also act just with the avalanche effect which is common in all cryptographic hash functions (small changes, e.g. changing d to c, result in a completely different hash) RIPEMD-160("The quick brown fox jumps over the lazy cog") = 132072df690933835eb8b6ad0b77e7b6f14acad7 The RIPEMD hash is a collection of several cryptographic hash functions. It compete with the MD hash family and the SHA hash family. The original RIPEMD hash algorithm is designed as a variation of the md4 hash algorithm , in fact there are 2 MD4 algorithm. The RIPEMD algorithm is not as efficient as the MD5 hash algorithm. And because it is based on MD4 , there are some doubt that is also contain some weakness that the MD4 hash algorithm has, for example the collisions flaw Because the concerns, the author of the RIPEMD make a new hash algorithm called the RIPEMD-160. The RIPEMD-160 algorithm is quite good, and robust. Compare the permance between the sha 1 and RIPEMD-160 , the RIPEMD-160 is a bit slower ,so it is not used widely as the SHA-1 algorithm. One of the main useage for the RIPEMD-160 is inside the PGP. That is because as a sign of defiance against governmental agencies, the pgp chose the RIPEMD-160 over SHA-1 hash algorithm The RIPEMD-256 is a 256-bit version of RIPEMD-160 algorithm, but it is not widely used compare to the sha hash family such as the sha 2. So this is why the RIPEMD hash algorithm is not widely used. The difference the RIPEMD-160 or RIPEMD-256 algorithm Some people will ask which RIPEMD hash to use, the RIPEMD-160 or RIPEMD-256. At first glance , the RIPEMD-160 seems a quite good hash algorithm, but as the growth of current computing .the RIPEMD-160 output is a bit short. (if you want to generate encryption with 128-bit keys, you should, go for the hash algorithm functions with 256-bit output) and the RIPEMD-160 computing speed is not very good compare to other same level algorithm, so may be you can get better performance if you go with the SHA-256, which has more optimized implementations The RIPEMD-256 implementation is a new one compare to its cousins . but it is not quite popular, not many reaserch have done on it , so you should take more caution, if you want to use it on your commercial product. Since the 128 bit hash result no longer stand against the brutal force collision attack At Crypto 2004 several Chinese crypto scientists announced that they found collisions for MD4, MD5, RIPEMD, and the 128-bit version of HAVAL. So the RIPEMD-160 is designed as a improved version of the RIPEMD-128 hash result. And is expected to be secure for the next ten years or more. https://hash.onlinetoolsland.com/ripemd/ The RIPEMD -160 is tuned for the 32-bit processors. The RIPEMD-256 and RIPEMD-320 hash algorithm are extensions of RIPEMD-128 and RIPEMD-160. They are designed as a longer hash result without the need of a larger security level. Where can I find a detailed description of RIPEMD-160 hash algorithm
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Many more great Excel tutorials linked below: http://www.youtube.com/playlist?list=PL8004DC1D703D348C&feature=plcp Be sure to watch my other Excel tutorial videos on my channel, including more advanced techniques and many useful and practical ones. Be sure to Subscribe and Comment.

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This video gives an overview of the RSA Digital Signature. It shows how this scheme is closely related to RSA encryption/decryption.
Views: 8334 Leandro Junes

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Lecture Series on Internet Technologies by Prof.I.Sengupta, Department of Computer Science & Engineering ,IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 104187 nptelhrd

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Many of us rely on the use of salt in the belief it will make our passwords "secure" when hashed with a variant of the SHA algorithm. Unfortunately, processing power has progress to the point where even salted hashes are now near useless, particularly when using a GPU in an attempt to crack them. This video shows how salted SHA1 hashes generated by the ASP.NET membership provider can easily be broken using hashcat and an AMD Radeon 7970 GPU. This video is part of a larger blog post which includes info on alternatives here: http://www.troyhunt.com/2012/06/our-password-hashing-has-no-clothes.html
Views: 15007 Troy Hunt

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A cryptographic hash function is a hash function which is considered practically impossible to invert, that is, to recreate the input data from its hash value alone. The input data is often called the message, and the hash value is often called the message digest or simply the digest. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
Views: 2400 Audiopedia

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Speaker: Michael Kirkpatrick · Purdue University Abstract Physically unclonable functions (PUFs) are hardware structures that create unique characteristics for distinct copies of a device. Specifically, the physical nature of manufacturing a device introduces slight variations that can be neither controlled nor predicted. PUFs quantify these differences into a random one-way function. In our work, we have explored multiple application scenarios for integrating PUFs into security systems. In the first application, we propose leveraging PUFs to bind access requests to known, trusted devices. This scheme also offers a lightweight key exchange protocol that can reduce the computational cost for low-power embedded devices. In our second work, we have designed PEAR, a portable authentication token based on PUFs that allows for privacy-preserving transactions with websites. Finally, we have created PUF ROKs, which are read-once cryptographic keys based on PUFs. In this talk, we will introduce these applications, highlighting the advantages of deploying PUFs over competing technologies, as well as presenting the results of our empirical and formal analyses of these prototypes. About the Speaker Michael S. Kirkpatrick is a Ph.D. candidate in the Department of Computer Sciences at Purdue University. His research interests lie in the realm of designing secure systems, with a special focus on the interactions between hardware, architectures, and operating systems. He received a M.S. in Computer Science and Engineering at Michigan State University in 2007 and a B.A. in Mathematics and Computer Science at Indiana University in 2001. In addition, he spent more than five years with IBM, primarily working in the area of semiconductor engineering and lithography. For more information and source of the videos visit: http://bit.ly/CERIAS_archive
Views: 2940 Christiaan008

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Speeding up detection of SHA-1 collision attacks using unavoidable attack conditions Marc Stevens, CWI; Daniel Shumow, Microsoft Research Counter-cryptanalysis, the concept of using cryptanalytic techniques to detect cryptanalytic attacks, was introduced at CRYPTO 2013 [23] with a hash collision detection algorithm. That is, an algorithm that detects whether a given single message is part of a colliding message pair constructed using a cryptanalytic collision attack on MD5 or SHA-1. Unfortunately, the original collision detection algorithm is not a low-cost solution as it costs 15 to 224 times more than a single hash computation. In this paper we present a significant performance improvement for collision detection based on the new concept of unavoidable conditions. Unavoidable conditions are conditions that are necessary for all feasible attacks in a certain attack class. As such they can be used to quickly dismiss particular attack classes that may have been used in the construction of the message. To determine an unavoidable condition one must rule out any feasible variant attack where this condition might not be necessary, otherwise adversaries aware of counter-cryptanalysis could easily bypass this improved collision detection with a carefully chosen variant attack. Based on a conjecture solidly supported by the current state of the art, we show how we can determine such unavoidable conditions for SHA-1. We have implemented the improved SHA-1 collision detection using such unavoidable conditions and which is more than 20 times faster than without our unavoidable condition improvements. We have measured that overall our implemented SHA-1 with collision detection is only a factor 1.60 slower, on average, than SHA-1. With the demonstration of a SHA-1 collision, the algorithm presented here has been deployed by Git, GitHub, Google Drive, Gmail, Microsoft OneDrive and others, showing the effectiveness of this technique. View the full program: https://www.usenix.org/sec17/program
Views: 137 USENIX

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Views: 37234 Mobilefish.com

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Views: 7861 Simple Snippets

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Codecrypt The post-quantum cryptography tool. https://github.com/exaexa/codecrypt * About This is a GnuPG-like unix program for encryption and signing that uses only quantum-computer-resistant algorithms: McEliece cryptosystem (compact QC-MDPC variant) for encryption Hash-based Merkle tree algorithm (FMTSeq variant) for digital signatures Codecrypt is free software.
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We show that preimages of SHA-1 can be computed at the cost of 2^159.3 compression function computations. For variants with a reduced number of steps we obtain significantly faster attacks than previously known. The best previous attack was on 48 (of 80) steps with a complexity of 2^159.3. Our attack on this variant has complexity 2^152.1. The new results heavily rely on the linear message expansion and the low diffusion of the step transformation. The techniques in this paper apply to any hash function with linear message expansion. In the talk we will provide a general introduction to meet-in-the-middle preimage attacks on hash functions.
Views: 320 Microsoft Research

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Today we're going over Elliptic Curve Cryptography, particularly as it pertains to the Diffie-Hellman protocol. The ECC Digital Signing Algorithm was also discussed in a separate video concerning Bitcoin's cryptography.
Views: 55499 CSBreakdown

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Google Tech Talks November 20, 2006 ABSTRACT We will see improved results on search using hashing and sketching. Hashing is often analyzed as balls being thrown into bins where you think of the hash items as balls and buckets as bins. By studying variants of the balls and bins processes we obtain a hashing algorithm with 85% hash table space utilization. We will also study locality sensitive hashing, a hashing method used for nearest neighbor search, as opposed to exact search. A locality sensitive hash function is likely to map nearby elements to the same bucket. We will see a variant of locality sensitive hashing that finds an approximate nearest neighbor in high dimensions using linear space. We...

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Not all cryptocurrencies have their own blockchains. Instead they run on top of other platforms like ERC20 tokens run on top of Ethereum. This video explains what these tokens are and why ERC20 was created. 📚 Sources Can be found on my website: https://www.savjee.be/videos/simply-explained/erc20-tokens/ 🌍 Social Twitter: https://twitter.com/savjee Facebook: https://www.facebook.com/savjee ✏️ Check out my blog https://www.savjee.be

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Should Apple unlock a terrorists iPhone for the FBI? Professor Ross Anderson explains how this is a "Pandora's Box" situation. Buffer Overflow Attacks: https://youtu.be/1S0aBV-Waeo \$5 Computer: https://youtu.be/WR0ghM3U0M4 AI Safety: https://youtu.be/IB1OvoCNnWY EXTRA BITS: https://youtu.be/6iGxNku7ilw http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Views: 277887 Computerphile

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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: 7226 Udacity

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Dual-Server Public-Key Encryption With Keyword Search for Secure Cloud Storage To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #45, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: http://www.jpinfotech.org, Blog: http://www.jpinfotech.blogspot.com Searchable encryption is of increasing interest for protecting the data privacy in secure searchable cloud storage. In this paper, we investigate the security of a well-known cryptographic primitive, namely, public key encryption with keyword search (PEKS) which is very useful in many applications of cloud storage. Unfortunately, it has been shown that the traditional PEKS framework suffers from an inherent insecurity called inside keyword guessing attack (KGA) launched by the malicious server. To address this security vulnerability, we propose a new PEKS framework named dual-server PEKS (DS-PEKS). As another main contribution, we define a new variant of the smooth projective hash functions (SPHFs) referred to as linear and homomorphic SPHF (LH-SPHF). We then show a generic construction of secure DS-PEKS from LH-SPHF. To illustrate the feasibility of our new framework, we provide an efficient instantiation of the general framework from a Decision Diffie–Hellman-based LH-SPHF and show that it can achieve the strong security against inside the KGA.
Views: 2556 JPINFOTECH PROJECTS

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Bubbles in the pipeline? Some of the basic operations at the heart of the CPU explained by Dr Steve Bagley. EXTRA BITS: https://youtu.be/t_RnwTW87_Q Why CPUs Need Caches: https://youtu.be/6JpLD3PUAZk The Perfect Code: https://youtu.be/WPoQfKQlOjg Microsoft Hololens: https://youtu.be/gp8UiYOw8Fc http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Views: 204799 Computerphile

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A high-level explanation of digital signature schemes, which are a fundamental building block in many cryptographic protocols. More free lessons at: http://www.khanacademy.org/video?v=Aq3a-_O2NcI Video by Zulfikar Ramzan. Zulfikar Ramzan is a world-leading expert in computer security and cryptography and is currently the Chief Scientist at Sourcefire. He received his Ph.D. in computer science from MIT.

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This is my entry in the Excel Hash competition using the FREQUENCY and MAX Functions, plus 3D Models and Form Controls. VOTE for your favourite entry here: https://tinyurl.com/y9hmvelp WATCH the other awesome entries from my fellow Excel MVPs in the playlist here: https://www.youtube.com/playlist?list=PLHrPHBbDHgT0UnY1qb36YZrBwpWNJX8Lx My 5 fellow competitors in the Excel Hash challenge are: Mike Girvin - Excel Is Fun Bill Jellen - MrExcel Leila Gharani Jon Acampora - Excel Campus Oz du Soleil - Excel on Fire Be sure to subscribe to their channels too! ► Want More Excel ◄ Download my free 100 Excel Tips & Tricks eBook here: https://www.myonlinetraininghub.com/sign-up-for-100-excel-tips-and-tricks
Views: 7795 MyOnlineTrainingHub

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What is RANDOMIZATION FUNCTION? What does RANDOMIZATION FUNCTION mean? RANDOMIZATION FUNCTION meaning - RANDOMIZATION FUNCTION definition - RANDOMIZATION FUNCTION 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 computer science, a randomization function or randomizing function is an algorithm or procedure that implements a randomly chosen function between two specific sets, suitable for use in a randomized algorithm. Randomizing functions are related to random number generators and hash functions, but have somewhat different requirements and uses, and often need specific algorithms. Randomizing functions are used to turn algorithms that have good expected performance for random inputs, into algorithms that have the same performance for any input. For example, consider a sorting algorithm like quicksort, which has small expected running time when the input items are presented in random order, but is very slow when they are presented in certain unfavorable orders. A randomizing function from the integers 1 to n to the integers 1 to n can be used to rerrange the n input items in "random" order, before calling that algorithm. This modified (randomized) algorithm will have small expected running time, whatever the input order. In theory, randomization functions are assumed to be truly random, and yield an unpredictably different function every time the algorithm is executed. The randomization technique would not work if, at every execution of the algorithm, the randomization function always performed the same mapping, or a mapping entirely determined by some externally observable parameter (such as the program's startup time). With such a "pseudo-randomization" function, one could in principle construct a sequence of calls such that the function would always yield a "bad" case for the underlying deterministic algorithm. For that sequence of calls, the average cost would be closer to the worst-case cost, rather than the average cost for random inputs. In practice, however, the main concern is that some "bad" cases for the deterministic algorithm may occur in practice much more often than it would be predicted by chance. For example, in a naive variant of quicksort, the worst case is when the input items are already sorted — which is a very common occurrence in many applications. For such algorithms, even a fixed pseudo-random permutation may be good enough. Even though the resulting "pseudo-randomized" algorithm would still have as many "bad" cases as the original, they will be certain peculiar orders that would be quite unlikely to arise in real applications. So, in practice one often uses randomization functions that are derived from pseudo-random number generators, preferably seeded with external "random" data such as the program's startup time. The uniformity requirements for a randomizing function are usually much weaker than those of hash functions and pseudo-random generators. The minimum requirement is that it maps any input of the deterministic algorithm into a "good" input with a sufficiently high probability. (However, analysis is usually simpler if the randomizing function implements each possible mapping with uniform probability.)
Views: 157 The Audiopedia

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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: 801 Udacity

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Views: 21202 Leila Gharani

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Views: 18216 Professor Messer

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A perceptual image hash function maps an image to a short binary string based on an image's appearance to the human eye. Perceptual hashing is useful in image databases, watermarking, and content authentication in adversarial scenarios. In this talk, we decouple image hashing into feature extraction (intermediate hash) followed by data clustering (final hash). We prove that the decision version of our clustering problem is NP complete. Then, for any perceptually significant feature extractor, we present a polynomial-time clustering algorithm based on a greedy heuristic, which automatically determines the final hash length needed to satisfy a specified distortion. Based on the proposed algorithm, we develop two variations to facilitate perceptual robustness vs. fragility trade-offs. We validate the perceptual significance of our hash by testing under Stirmark attacks. Finally, we develop randomized clustering algorithms for the purposes of secure image hashing. We demonstrate the hardness of generating malicious inputs by means of experimental results.
Views: 661 Microsoft Research

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Viewers like you help make PBS (Thank you 😃) . Support your local PBS Member Station here: https://to.pbs.org/donateinfi Symmetric keys are essential to encrypting messages. How can two people share the same key without someone else getting a hold of it? Upfront asymmetric encryption is one way, but another is Diffie-Hellman key exchange. This is part 3 in our Cryptography 101 series. Check out the playlist here for parts 1 & 2: https://www.youtube.com/watch?v=NOs34_-eREk&list=PLa6IE8XPP_gmVt-Q4ldHi56mYsBuOg2Qw Tweet at us! @pbsinfinite Facebook: facebook.com/pbsinfinite series Email us! pbsinfiniteseries [at] gmail [dot] com Previous Episode Topology vs. “a” Topology https://www.youtube.com/watch?v=tdOaMOcxY7U&t=13s Symmetric single-key encryption schemes have become the workhorses of secure communication for a good reason. They’re fast and practically bulletproof… once two parties like Alice and Bob have a single shared key in hand. And that’s the challenge -- they can’t use symmetric key encryption to share the original symmetric key, so how do they get started? Written and Hosted by Gabe Perez-Giz Produced by Rusty Ward Graphics by Ray Lux Assistant Editing and Sound Design by Mike Petrow and Meah Denee Barrington Made by Kornhaber Brown (www.kornhaberbrown.com) Thanks to Matthew O'Connor, Yana Chernobilsky, and John Hoffman who are supporting us on Patreon at the Identity level! And thanks to Nicholas Rose, Jason Hise, Thomas Scheer, Marting Sergio H. Faester, CSS, and Mauricio Pacheco who are supporting us at the Lemma level!
Views: 53700 PBS Infinite Series

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Views: 267 The Audiopedia

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Lab: https://dl.dropboxusercontent.com/u/40355863/csn11117_lab03.pdf
Views: 498 Bill Buchanan OBE

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3.016 Final Video project. Simple derivation of the solution to the birthday paradox with variations and ideas for further study.
Views: 2929 Ian Chesser

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A somewhat technical explanation of how Bitcoin works. Want more? Check out my new in-depth course on the latest in Bitcoin, Blockchain, and a survey of the most exciting projects coming out (Ethereum, etc): https://app.pluralsight.com/library/courses/bitcoin-decentralized-technology Lots of demos on how to buy, send, store (hardware, paper wallet). how to use javascript to send bitcoin. How to create Ethereum Smart Contract, much more. Shorter 5 min introduction: https://www.youtube.com/watch?v=t5JGQXCTe3c Written version: http://www.imponderablethings.com/2013/07/how-bitcoin-works-under-hood.html My Bitcoin address: 13v8NB9ScRa21JDi86GmnZ5d8Z4CjhZMEd Arabic translation by Ahmad Alloush Spanish caption translation by Borja Rodrigo, [email protected], DFJWgXdBCoQqo4noF4fyVhVp8R6V62XdJx Russian caption translation by Alexandra Miklyukova Italian voice over: http://youtu.be/1aEf3qr7UdE Italian captions translated by Simone Falcini, 1H5KdCnBooxfqpXtyQBBAKKRU7MkCZCVCe
Views: 2672480 CuriousInventor

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Talk at eurocrypt 2012. Authors: Abhishek Banerjee, Chris Peikert, Alon Rosen. See http://www.iacr.org/cryptodb/data/paper.php?pubkey=24252
Views: 606 TheIACR

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Websites & https what difference does the "s" make anyway? - Dr Richard Mortier of the University of Cambridge Computer Laboratory explains. Follow the Cookie Trail: https://youtu.be/LHSSY8QNvew Man in the Middle / Superfish: https://youtu.be/-enHfpHMBo4 Botnets: COMING SOON Object Oriented Programming: https://youtu.be/KyTUN6_Z9TM 3D Rock Art Scanner: https://youtu.be/Ahdnkj77rAY Mixed Reality Continuum: https://youtu.be/V4qxfFPgqdc http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Views: 128916 Computerphile

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Introduction to CityHash https://hash.onlinetoolsland.com/cityhash/ The CityHash is a family of hash functions for strings, there are currently 2 type of CityHash CityHash64 and CityHash128. They can hash 64- and 128-bit hash codes, respectively. The cityhash is quite good for hash tables. but not the aren’t suitable for cryptography, The CityHash is invent and published by google. When the enginners at google tried to optimize for CPUs that are common in Google’s datacenters, they find out most PCs and laptops have the relevant features as well. The important ones are 64-bit registers, instruction-level parallelism, and fast unaligned memory accesses. Google thinks CityHash64 and CityHash128 are exciting new method to to solve a classic problem. Under real-life conditions they expect CityHash64 to outperform previous work by at least 30% in speed, and perhaps as much as a factor of two. Also, as far as we know, these functions’ statistical properties are sound. Please don’t hesitate to try this fast new code! Introduction to the CityHash The city hash is a a family of hash functions for strings.The cityhash is a hash functions for strings. ,but the cityhash are not suitable for cryptography. The CityHash32() returns a 32-bit hash. The CityHash64() and similar return a 64-bit hash. The CityHash128() and similar return a 128-bit hash and are used for strings of at least a few hundred bytes. The cityhash 128 almost always faster than CityHash64() on enough long strings. Depending on your compiler and hardware,and at the same time the cityhash 128 It's slower than necessary on shorter strings There are also CityHashCrc128() amd CityHashCrc256(),which return 128-bit hash. And 256-bit hash. All the hash function in the CityHash family are designed upon the work by Bob Jenkins Austin Appleby and others.such as Murmur3a The per Performance of CityHash famlily The Performance of CityHash64 and its many variants on both short and long are both interesting The cityhash is designed to be a fast algorithm ,under certain conditions , it runs quite fast On a sole core of a 2.67GHz Intel Xeon X5550, the CityHashCrc256 can run at max of 5 to 5.5 bytes/cycle. The other CityHashCrc hashes are wrappers around CityHashCrc256 and have similar performance on long strings. The CityHash128 peaks at about 4.3 bytes/cycle. Compare with other hashes There are some hash just like the cityhash , include SpookyHash by Bob Jenkins And Murmur hash. The performance on long strings For operate on long strings, pookyHash, is just A little slower than CityHash128 on Intel x86-64 CPUs, but more faster on AMD x86-64 CPUs. For operating on hashing long strings on AMD CPUs and/or CPUs without the CRC instruction, SpookyHash may be just as good or better than any of the CityHash variants. The performance on on short strings: 64-bit CPUs for operating on short strings, CityHash64 is faster than CityHash128, and probably faster than all the aforementioned functions, depending on the mix of string lengths. Hash Results CityHash64 v1.0.3 7ns for 1 byte, or 6ns for 8 bytes, or 9ns for 64 bytes Murmur2 (64-bit) 6ns for 1 byte, or 6ns for 8 bytes, or 15ns for 64 bytes Murmur3F 14ns for 1 byte, or 15ns for 8 bytes, or 23ns for 64 bytes The performance on 32-bit CPUs The CityHash32 is the newest variant of CityHash. It is designed for 32-bit hardware in general but has been mostly tested on x86. We don't know of anything faster that has comparable quality. The speed rankings in our testing: CityHash32 Murmur3f Murmur3a (for long strings), and CityHash32 Murmur3a Murmur3f (for short strings). https://hash.onlinetoolsland.com/cityhash/
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Antminer D3: Best Dash Miner Specifications of the Antminer D3 are as follows: a) Hash rate: 15 GH/s (Variation of ±5% is expected) b) Power consumption: 1200W (at the wall, with Bitmain’s APW3 PSU, 93% efficiency, 25°C ambient temp). c) Dimensions of the miner: 320*130*190mm d) Hashing algorithm: X11 Referral links: Mining https://www.genesis-mining.com/ Genesis Mining: Use my code "" mZPezX"" to get 3% off of genesis mining and I will use your code next time I upgrade https://minergate.com/a/a8b56b14a0b40... Miner Gate: Mine the most profitable coin on your desktop with the click of a button Trading https://www.cryptopia.co.nz/Register?... Cryptopia: Trade a large amount of coins easily.
Views: 1680 Crypto Crab

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MIT 6.858 Computer Systems Security, Fall 2014 View the complete course: http://ocw.mit.edu/6-858F14 Instructor: Nickolai Zeldovich In this lecture, Professor Zeldovich discusses how to cryptographically protect network communications, as well as how to integrate cryptographic protection of network traffic into the web security model. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 77442 MIT OpenCourseWare

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Following on from our contentious 'Mac or PC' film, we asked Professor Tom Rodden just what the actual difference is between Mac and PC. (by PC we are referring to machines running Windows or a variant of Linux) Floating Point Numbers: http://youtu.be/PZRI1IfStY0 Mac or PC? : http://youtu.be/A_Zptl34hbo Heartbleed, Running the Code: http://youtu.be/1dOCHwf8zVQ http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. See the full list of Brady's video projects at: http://bit.ly/bradychannels
Views: 888010 Computerphile