Search results “Key scheduling algorithm in cryptography math”
Lecture 6: Data Encryption Standard (DES): Key Schedule and Decryption by Christof Paar
For slides, a problem set and more on learning cryptography, visit www.crypto-textbook.com
DES algorithm follows the Feistel Structure Most of the Block cipher algorithms follows Feistel Structure BLOCK SIZE - 64 bits Plain Text No. of Rounds - 16 Rounds Key Size - 64 bits Sub Key Size - 48 bits No. of Sub Keys - 16 Sub Keys Cipher Text - 64 bits
Views: 157437 Sundeep Saradhi Kanthety
AES Rijndael Cipher explained as a Flash animation
Many years ago I came across a clickable flash animation that explained how the Rijndael cipher works. And even though Rijndael is pure, complex math, the animated visualizations made the whole process so crystal clear that I had to bend down to the floor afterwards to pick up my dropped jaw. Since then I know how powerful animated visualizations can be, even (or rather especially) for abstract and/or complex topics. When I started my Go blog, I knew I had to use animations because they are worth a thousand words. I did the same in my Go videos that you can find over here in my channel, and also in my Go course. This video is a recoding of the flash animation while I click through it. The flash animation is still available at formaestudio.com (link below), but no sane browser would agree to play any flash content anymore, so a video capture is the best we can get. I hope the pace of clicking through the steps is just right for you. NOTE: The video has no audio part. This is not a bug, the Flash animation simply had no sounds. The Rijndael Animation (and another Flash program called Rijndael Inspector): http://www.formaestudio.com/rijndaelinspector/ (c) Enrique Zabala. License terms: "Both these programs are free of use." (I guess that publishing a video of the animation is covered by these terms.) My blog: https://appliedgo.net My course: https://appliedgo.com/p/mastergo
Views: 28182 AppliedGo
DES Key Schedule- Part 2
The video explains the second step in developing DES-Key Schedule
Views: 452 Project Rhea
RSA Algorithm with Example | Asymmetric Key Cryptography (Public Key Cryptography)
In this network security video tutorial we will study the working of RSA Algorithm. RSA Algorithm theory - 1. Ron Rivest, Adi Shamir and Len Adlemen developed the method called as RSA algorithm. 2. Most popular and proven asymmetric key cryptography algorithm 3. Based on the mathematical fact that it is easy to find and multiply large prime numbers together, but it is extremely difficult to factor their product. RSA Algorithm Steps - 1. Choose two large prime numbers P and Q. 2. Calculate N = P * Q 3. Select the public key (i.e. the encryption key) E such that it is not a factor of [(P – 1) * (Q – 1)]. 4. Select the private key (i.e. the decryption key) D such that the following equation is true: (D * E) mod (P – 1) * (Q – 1) = 1 5. For encryption calculate the cipher text CT from the plain text PT as follows: CT= PT^E mod N 6. Send CT as the cipher text to the receiver 7. For decryption calculate the plain text PT from the cipher text CT as follows: PT = CT^D mod N Complete Network Security / Information Security Playlist - https://www.youtube.com/watch?v=IkfggBVUJxY&list=PLIY8eNdw5tW_7-QrsY_n9nC0Xfhs1tLEK Download my FREE Network Security Android App - https://play.google.com/store/apps/details?id=com.intelisenze.networksecuritytutorials Simple Snippets Official Website - http://simplesnippets.tech/ Simple Snippets on Facebook - https://www.facebook.com/simplesnippets/ Simple Snippets on Instagram - https://www.instagram.com/simplesnippets/ Simple Snippets on Twitter - https://twitter.com/simplesnippet Simple Snippets Google Plus Page - https://plus.google.com/+SimpleSnippets Simple Snippets email ID - [email protected]il.com For More Technology News, Latest Updates and Blog articles visit our Official Website - http://simplesnippets.tech/ #RSA #RSAalgorithm #NetworkSecurity #AsymmetricCryptography
Views: 1270 Simple Snippets
What is a trapdoor function?
Modern cryptography depends on the existence of several special kinds of mathematical functions. One important kind is a trapdoor function. Trapdoor functions are somewhat similar to hash functions in that they are easy to compute but hard to invert…​ except if you know a secret piece of information. So if someone does not have the secret or key, they cannot invert the function. If they do, they can open the trapdoor and invert the function. Trapdoor functions form the basis of modern cryptographic techniques that are widely-used online. Credits: Talking: Geoffrey Challen (Assistant Professor, Computer Science and Engineering, University at Buffalo). Producing: Greg Bunyea (Undergraduate, Computer Science and Engineering, University at Buffalo). Part of the https://www.internet-class.org online internet course. A blue Systems Research Group (https://blue.cse.buffalo.edu) production.
Views: 8634 internet-class
Rc4 Basics Presentation (2)
Full Video Details: http://www.securitytube.net/video/79
Views: 24631 TheSecurityTube
Early Unix Implementation - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 844 Udacity
22. Cryptography: Encryption
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Srinivas Devadas In this lecture, Professor Devadas continues with cryptography, introducing encryption methods. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 17160 MIT OpenCourseWare
RC4 Matlab
Implementing RC4 in Matlab Key Scheduling Algorithm (KSA) Pseudo-random generation algorithm (PRGA)
Theorem based Derivation of an AES Implementation
CUFP 2011: John Launchbury, Galois Even though step-by-step refinement has long been seen as desirable, it is hard to find compelling industrial applications of the technique. In theory, transforming a high-level specification into a high-performance implementation is an ideal means of producing a correct design, but in practice it is hard to make it work, and even harder to make it worthwhile. This talk describes an exception. We relate a design experience in which theorem-based refinement played a crucial role in producing an industrial quality FPGA encryptor and decryptor for AES. Quite simply, we are unlikely to have succeeded without the technique. We began with a specification for AES written in Cryptol, a high-level functional language designed specifically for describing the domain of bit-level computations as arise in Cryptography. Over a series of five design stages we were able to produce an industrial grade encrypt core. In each stage, we stated theorems which related the component behaviors in one stage with the corresponding behaviors in the refinement. The resulting cores, running at 350Mhz-440Mhz depending on the FPGA part, bore little relationship to the original, except that the step-by-step theorems ensured we had not gone astray. The next significant challenge we faced was in performing decrypt. While there are many similarities between encrypt and decrypt in AES, there are some crucial differences with regard to high performance. First concerns the generation of key material. The AES key is used as a seed for a specific pseudo-random number generator which produces key material for use in each of the AES rounds. For encrypt, the key-generator runs in sync with the action of encryption, so may be scheduled alongside it. For decrypt, they run counter to one-another, facing a major challenge to be overcome. Second, the generated key material needs to have an additional transformation applied to it, which occurs deep in the middle of the high performing core. Using theorems as stepping stones along the way, we redesigned the key expansion algorithm so that it would run in sync with the decryption, and we traced parallel steps to the derivation of encrypt, establishing a commuting ladder diagram along the way. At each barriers in development, we produced many theorems to isolate the bug, using theorems as a principled kind of printf. When the bug was eradicated, we elided many of the temporary theorems, leaving behind those that provided important insights into the behavior of the code. This talk is a story of the journey with demonstrations of the tool at work. Its ultimate message is to highlight the value of including a theorem facility within purely functional domain-specific languages.
Views: 338 anilmvs
SHA-1 (Secure hash Algorithm) working in English  | CSS series
Take the full crash course of Cryptography and Security System for free at Last moment tuitions Full course : https://lastmomenttuitions.com/course/cryptography-and-system-security/ Sample Notes :https://goo.gl/QpZPF5 For full hand made notes of Artificial Intelligence its only 100 rs payment options is PAYTM :9762903078 once we get payment notification we will mail you the notes on your email id contact us at :[email protected] whatsapp :9762903078 apko koi bhi doubt ho toh app humko direct email ya phone kar sakte ho Cryptography and security systems Series introduction to CSS: https://goo.gl/tjrh1L security goals and mechanism:https://goo.gl/uq35hP symmetric cipher:https://goo.gl/KFxF9j Substitution cipher and its types:https://goo.gl/MKmPzk Transposition cipher:https://goo.gl/uHqD7i diffie -hellman: https://goo.gl/YrskC5 RSA Algorithm:https://goo.gl/KwzCBF Kerberos:https://goo.gl/MQPgzw IDEA algorithm : https://goo.gl/PTCqFH Dos and DDos attack: https://goo.gl/8T345G SQL injection:https://goo.gl/bcVHnw SHA-1 vs MD5 :https://goo.gl/QJBhJD chalo toh public bus pass hojao aur share karo videos ko whatsapp group apne last moment pe unn dosto ko jo apni tarah last moment pe padhte hai Aur videos CSS ke aane waale hai so Channel ko subscribe jaroor karna follow us on: https://www.instagram.com/last_moment_tuitions https://www.facebook.com/lastmomenttuition https://www.facebook.com/sumerr3
Views: 71629 Last moment tuitions
RC4 in Python
implementing RC4 in Python Key-scheduling algorithm (KSA) Pseudo-random generation algorithm (PRGA)
Linear Cryptanalysis
Cryptography and Network Security by Prof. D. Mukhopadhyay, Department of Computer Science and Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 17767 nptelhrd
Overview on S-Box Design Principles
Cryptography and Network Security by Prof. D. Mukhopadhyay, Department of Computer Science and Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 28190 nptelhrd
Greedy Exchange
Views: 3001 Raymond Chan
17. Complexity: Approximation Algorithms
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Srinivas Devadas In this lecture, Professor Devadas introduces approximation algorithms in the context of NP-hard problems. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 23881 MIT OpenCourseWare
14. Depth-First Search (DFS), Topological Sort
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Erik Demaine License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 236738 MIT OpenCourseWare
RC4 Algorithm
This shows the operation of the RC4 algorithm (limited to 5 bits instead of the usual 8) after the key scheduling has happened.
Views: 16937 jgrahamc
1. Course Overview, Interval Scheduling
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Srinivas Devadas In this lecture, Professor Devadas gives an overview of the course and introduces an algorithm for optimal interval scheduling. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 188281 MIT OpenCourseWare
data encryption standard ,des animated  tutorial
https://8gwifi.org/CipherFunctions.jsp Encryption Decryption Online https://8gwifi.org/CipherFunctions.jsp what is DES DATA ENCRYPTION STANDARD (DES) The Data Encryption Standard (DES) specifies two FIPS approved cryptographic algorithms as required by FIPS 140-1. When used in conjunction with American National Standards Institute (ANSI) X9.52 standard, this publication provides a complete description of the mathematical algorithms for encrypting (enciphering) and decrypting (deciphering) binary coded information. Encrypting data converts it to an unintelligible form called cipher. Decrypting cipher converts the data back to its original form called plaintext. The algorithms described in this standard specifies both enciphering and deciphering operations which are based on a binary number called a key computer security cryptography data encryption standard animation
Views: 72313 Zariga Tongy
Symmetric Key Ciphers
Cryptography and Network Security by Prof. D. Mukhopadhyay, Department of Computer Science and Engineering, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 18276 nptelhrd
6.875 (Cryptography) L1: Introduction, One-Time Pad
Spring 2018 Cryptography & Cryptanalysis Prof. Shafi Goldwasser
Views: 3054 Andrew Xia
Block Cipher
Views: 15462 Internetwork Security
Lecture : 1- introduction (Joy Of Algorithm)
Dr. Rakesh Mohanty Dept of Computer Science Vssut ,Burla
RSA Algorithm Animation
Discrete Mathematics Homework. Sources: http://omerozcan.net/rsa/ https://tr.khanacademy.org/computing/computer-science/cryptography/modern-crypt/v/intro-to-rsa-encryption Project code link: https://yadi.sk/d/BRLDPvyt3ZfqJG
Views: 1224 Burak Parlak
R11. Cryptography: More Primitives
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Ling Ren In this recitation, problems related to cryptography are discussed. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 3700 MIT OpenCourseWare
Threat Monitoring (Firewall) and Technique of Encryption in Operating System
Threat Monitoring (Firewall) and Technique of Encryption in Operating System Like Us on Facebook - https://www.facebook.com/Easy-Engineering-Classes-346838485669475/ Operating System Hindi Classes Operating System Tutorial for Beginners in Hindi Operating System Study Notes Operating System Video Lectures
Cryptography for Embedded Systems Tutorial
Embedded System Software Tutorial: Cryptography Prof. Phil Koopman, Carnegie Mellon University For slides, see: https://users.ece.cmu.edu/~koopman/lectures/
Views: 116 Phil Koopman
DES (Contd.).
Views: 7605 Internetwork Security
Fred Chong: Closing the Gap Between Quantum Algorithms and Hardware
The Yale Quantum Institute welcomes Fred Chong of University of Chicago for a colloquium “Closing the Gap Between Quantum Algorithms and Hardware through Software-Enabled Vertical Integration and Co-Design”. This talk brought together Yale quantum physicists, computer scientists, and electrical engineers. Quantum computing is at an inflection point, where 72-qubit (quantum bit) machines are under test, 100-qubit machines are just around the corner, and even 1000-qubit machines are perhaps only a few years away. These machines have the potential to fundamentally change our concept of what is computable and demonstrate practical applications in areas such as quantum chemistry, optimization, and quantum simulation. Yet a significant resource gap remains between practical quantum algorithms and real machines. Programming, compilation and control will play a key role in increasing the efficiency of algorithms and machines to close this gap. In this video, Fred Chong will outline several grand research challenges in closing this gap, including programming language design, software and hardware verification, defining and perforating abstraction boundaries, cross-layer optimization, managing parallelism and communication, mapping and scheduling computations, reducing control complexity, machine-specific optimizations, learning error patterns, and many more. He will also describe the resources and infrastructure available for starting research in quantum computing and for tackling these challenges. This colloquium is co-sponsored by Yale Computer Science and Electrical Engineering departments.
Views: 1084 YaleUniversity
ITP - C Programming Lecture 1 - Algorithm, Flowchart with Examples - Hindi tutorial
ITP - C Programming Lecture 1 - Algorithm, Flowchart with Examples - Hindi tutorial ALGORITHM - Introduction Example – Algorithm to find Greatest Among three numbers Approaches of Algorithm – Top Down Approach(Divide and Conquer Technique) Efficiency of an Algorithm Time and Space Complexity, Analysis of Algorithm FLOWCHARTS - Introduction Example – Algorithm and Flowchart to Check whether a Number is Even or Odd Example: Algorithm to find Factorial of a Number Example: Flowchart for Addition of Two numbers Example: Flowchart to Find Average of 10 Numbers #LMR #ITP #C Programming tutorial for Beginners in Hindi
Conflict Serializability ll Precedence Graph ll DBMS ll Explained with Examples in Hindi
📚📚📚📚📚📚📚📚 GOOD NEWS FOR COMPUTER ENGINEERS INTRODUCING 5 MINUTES ENGINEERING 🎓🎓🎓🎓🎓🎓🎓🎓 SUBJECT :- Discrete Mathematics (DM) Theory Of Computation (TOC) Artificial Intelligence(AI) Database Management System(DBMS) Software Modeling and Designing(SMD) Software Engineering and Project Planning(SEPM) Data mining and Warehouse(DMW) Data analytics(DA) Mobile Communication(MC) Computer networks(CN) High performance Computing(HPC) Operating system System programming (SPOS) Web technology(WT) Internet of things(IOT) Design and analysis of algorithm(DAA) 💡💡💡💡💡💡💡💡 EACH AND EVERY TOPIC OF EACH AND EVERY SUBJECT (MENTIONED ABOVE) IN COMPUTER ENGINEERING LIFE IS EXPLAINED IN JUST 5 MINUTES. 💡💡💡💡💡💡💡💡 THE EASIEST EXPLANATION EVER ON EVERY ENGINEERING SUBJECT IN JUST 5 MINUTES. 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 MAGICAL THINGS LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL 5 MINUTES ENGINEERING 📚📚📚📚📚📚📚📚
CPU Playing Algorithm
Implemented a fancy gui. Slight tweak to cpu algorithm, it plays blind atm, no consideration for the next piece. The algorithm doesn't incorporate any piece hooking concept either.
Views: 177 aJack77
P vs. NP and the Computational Complexity Zoo
Hackerdashery #2 Inspired by the Complexity Zoo wiki: https://complexityzoo.uwaterloo.ca/Complexity_Zoo For more advanced reading, I highly recommend Scott Aaronson's blog, Shtetl-Optimized: http://www.scottaaronson.com/blog/ ----- Retro-fabulous, cabinet-sized computers: System/360: http://en.wikipedia.org/wiki/IBM_System/360 photo: "360-91-panel". Licensed under Public domain via Wikimedia Commons - http://commons.wikimedia.org/wiki/File:360-91-panel.jpg#mediaviewer/File:360-91-panel.jpg PDP-8: http://en.wikipedia.org/wiki/PDP-8 photo: "PDP-8". Licensed under Public domain via Wikimedia Commons - http://commons.wikimedia.org/wiki/File:PDP-8.jpg#mediaviewer/File:PDP-8.jpg ----- Protein folding illustration: "Protein folding schematic" by Tomixdf (talk) - Own work (Original text: “self-made”). Licensed under Public domain via Wikimedia Commons - http://commons.wikimedia.org/wiki/File:Protein_folding_schematic.png#mediaviewer/File:Protein_folding_schematic.png P vs. NP opinion poll: http://www.cs.umd.edu/~gasarch/papers/poll2012.pdf
Views: 1763512 hackerdashery
User Authentication Introduction - Passwords Based , Derived from Passwords, MD of Passwords
User Authentication Introduction to Passwords Based Authentication, Derived from Passwords, MD of Passwords Keywords: User Authentication Password Based Authentication Network Security Notes Computer Network Security Notes Something derived from passwords Problems with Clear Text Password Schemes Message Digest(MD) of Passwords
DBMS GATE Lectures | Introduction to Database Management System | Weightage Analysis, Book, Syllabus
Database Management System GATE Lectures (DBMS) for GATE 2019 Computer Science Preparation. Enrol for FREE GATE CSE Lectures here ► https://gradeup.co/courses/gate-cse-video-lectures-free?utm_source=youtube&utm_medium=des&utm_campaign=DBMS_Intro Watch all DBMS Lectures here: https://www.youtube.com/watch?v=oMid8R729n0&list=PLynLXReWAxdFMPz61t1L7S37G9TyScys2 This GATE Lecture includes: - DBMS GATE Syllabus - DBMS GATE Book - Database Management System Weightage Analysis from 2014-2018 - Basics of Database Management System for GATE 2019 Practice Database Management System (DBMS) questions with FREE GATE CSE 2019 Mocks here ► https://gradeup.co/online-test-series/computer-science-engineering/gate-cs-2019-combo-test-series-zjivhowpx?utm_source=youtube&utm_medium=des&utm_campaign=DBMS_Intro FREE Mocks are also available for other exams like: - AAI ATC CSE ► https://gradeup.co/online-test-series/computer-science-engineering/aai-atc-junior-executive-2018-test-series-zjlnheyq8?utm_source=youtube&utm_medium=des&utm_campaign=DBMS_Intro - DRDO CEPTAM CSE ► https://gradeup.co/online-test-series/computer-science-engineering/drdo-ceptam-sta-b-2018-tier-i-test-series-zjlniktoq?utm_source=youtube&utm_medium=des&utm_campaign=DBMS_Intro Try Free Mock Now! Get Free Study Material & Practice daily quizzes on Gradeup App ► https://gradeup.page.link/gate Get all information about GATE Computer Science here: https://gradeup.co/computer-science-engineering/gate-cse?utm_source=youtube&utm_medium=des&utm_campaign=DBMS_Intro GATE CSE 2019 syllabus (https://gradeup.co/gate-syllabus-for-cse-i-c68e9084-1b57-11e6-bec1-c3f7752aa5f5) is divided into following sections: 1. Engineering Mathematics: Discrete mathematics, Linear Algebra, Calculus, Probability 2. Digital Logic: Boolean Algebra, Combinational and Sequential Circuits, Minimization, Number Representations and computer arithmetic (fixed and floating point) 3. Computer Organisation and Architecture: Machine instructions and addressing modes. ALU, data path and control unit. Instruction pipelining. Memory hierarchy: cache, main memory and secondary storage; I/O interface (interrupt and DMA mode) 4. Programming and Data Structures: Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs 5. Algorithms: Searching, sorting, hashing. Asymptotic worst case time and space complexity. Algorithm design techniques: greedy, dynamic programming and divide and conquer. Graph search, minimum spanning trees, shortest paths 6. Theory of Computation: Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and contex-free languages, pumping lemma. Turing machines and undecidability 7. Compiler Design: Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation 8. Operating System: Processes, threads, inter process communication, concurrency and synchronization. Deadlock. CPU scheduling. Memory management and virtual memory. File systems 9. Databases: ER model. Relational model: relational algebra, tuple calculus, SQL. Integrity constraints, normal forms. File organization, indexing (e.g., B and B+ trees). Transactions and concurrency control 10. Computer Networks: Concept of layering. LAN technologies (Ethernet). Flow and error control techniques, switching. IPv4/IPv6, routers and routing algorithms (distance vector, link state). TCP/UDP and sockets, congestion control. Application layer protocols (DNS, SMTP, POP, FTP, HTTP). Basics of Wi-Fi. Network security: authentication, basics of public key and private key cryptography, digital signatures and certificates, firewalls. Refer GATE 2019 notification here: https://gradeup.co/gate?utm_source=youtube&utm_medium=des&utm_campaign=DBMS_Intro #GATECSE #GATE #GATE2019 #GATEgradeup
Bitcoin Whiteboard: Bitcoin Blockchain Technology - Andreas M. Antonopoulos
This is the 2nd part of a presentation in collaboration with the Department of Computer Science, at University College London (UCL). Andreas is a UCL alumni. Part of an academic lecture that Andreas M. Antonopoulos gave at the beginning of 2016 explaining the consensus algorithm, "Proof of Work", used by bitcoin and many other blockchains. Watch the full presentation here https://youtu.be/fw3WkySh_Ho Andreas is the author of two books: “Mastering Bitcoin,” published by O’Reilly Media and considered the best technical guide to bitcoin; “The Internet of Money,” a book about why bitcoin matters. Get the books on Amazon http://amzn.to/2zpekI0 Follow Andreas on Twitter @aantonop https://twitter.com/aantonop Subscribe to Andreas's YouTube channel https://www.youtube.com/user/aantonop Check out Andreas's website https://antonopoulos.com/ Support Andreas by becoming a Patreon https://www.patreon.com/aantonop This is part of a video that was first published under a creative commons licence https://creativecommons.org/ on 31 Jan 2016 the aantonop YouTube channel https://www.youtube.com/user/aantonop and can be found here https://youtu.be/fw3WkySh_Ho About the Creative Commons Licence: One goal of Creative Commons is to increase the amount of openly licensed creativity in “the commons” — the body of work freely available for legal use, sharing, repurposing, and remixing. Watch part 1 Bitcoin Consensus Algorithms https://youtu.be/pnyxdFow194 Follow Bitcoinboy on Twitter @BitCoinBoy https://twitter.com/BitCoinBoy If you'd like to support this channel 1BtCboyxPL4WNutwq79oqsQ5Vc25SchoZp
Views: 2605 Bitcoinboy
Gate CSE 2018 Solved RISC Processor Question
APTITUDE =================== how to find number of Triangles Part 2 : https://youtu.be/rul4FUqgdcA how to find number of Triangles Part 1 : https://youtu.be/YWzKAaXNefI how to find number of Triangles Part 3 : https://youtu.be/zEA_X13u52E how to find number of squares : https://youtu.be/SXz6ixH1pLk how to find number of Rectangles Part1 : https://youtu.be/Y19kOt9nvtk how to find number of Rectangles part 2 : https://youtu.be/AjSafoT_wgQ GATE ====================== Gate question on character array pointer #taiyyari : https://youtu.be/Jr-C8sDfrfE How does int and char pointers work? : https://youtu.be/uB69YSFw2yI Gate question pointer 2008 : https://youtu.be/UB___-Fq8vQ Gate question on recursion : https://youtu.be/26IKSb_eu4M C question on recursion.... solution gate : https://youtu.be/4yHrBivo6ig Compiler introduction... Part1 : https://youtu.be/OQn7z27tS8k #taiyyari compiler introduction part 2 : https://youtu.be/biwvbDSMfBQ Compiler gate higher precedence : https://youtu.be/_qIDdafjXa8 Binary search worst case : https://youtu.be/JdGuQihtGFs Call by reference explained.... : https://youtu.be/QwW8sPoc7So How to use Static Keyword in C programming Gate 2000 : https://youtu.be/PJqX0AzTBJI C programming tokens #taiyyari : https://youtu.be/qfkG6PDS2eE LRTF CPU SchedulingAlgorithm #Taiyyari : https://youtu.be/MhE8SHBa7YE SRTF CPU Scheduling Algorithm #taiyyari : https://youtu.be/fwId1CapoeA SJF CPU Scheduling Algorithm #taiyyari : https://youtu.be/VIn68mFJmRo Round Robin CPU Schedling Algorithm #Taiyyari : https://youtu.be/0IxVIKFu414 Binary To Gray Algorithm code conversion #taiyyari : https://youtu.be/la9z4KHI66U Gray to Binary Code conversion - Number system : https://youtu.be/UozTFV-xtKI Gate 2018 solution ER model.. : https://youtu.be/JAFVdnqrllI Apigee for beginners... #taiyyari : https://youtu.be/M9RVuFyJ2Lk Gate CSE 2018 Solved RISC Processor Question : https://youtu.be/4WyJThyXq4U Gate CSE 2018 Solved Queestion on Xor and Xnor : https://youtu.be/BiMbkR8sMB8 Gate 2018 Solved Question on Process Instance : https://youtu.be/sK6-gQSWewo
Views: 13 Taiyyari Samahit
8. Randomization: Universal & Perfect Hashing
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Erik Demaine In this lecture, Professor Demaine reviews hashing in the context of randomized algorithms. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 26843 MIT OpenCourseWare
14. Incremental Improvement: Matching
MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Srinivas Devadas In this lecture, Professor Devadas continues with the topic of network flow. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 18025 MIT OpenCourseWare
Protecting Private Keys against Memory Disclosure Attacks Using Hardware Transactional Memory
Protecting Private Keys against Memory Disclosure Attacks Using Hardware Transactional Memory Le Guan Presented at the 2015 IEEE Symposium on Security & Privacy May 18--20, 2015 San Jose, CA http://www.ieee-security.org/TC/SP2015/ ABSTRACT Cryptography plays an important role in computer and communication security. In practical implementations of cryptosystems, the cryptographic keys are usually loaded into the memory as plaintext, and then used in the cryptographic algorithms. Therefore, the private keys are subject to memory disclosure attacks that read unauthorized data from RAM. Such attacks could be performed through software methods (e.g., Open SSL Heart bleed) even when the integrity of the victim system's executable binaries is maintained. They could also be performed through physical methods (e.g., Cold-boot attacks on RAM chips) even when the system is free of software vulnerabilities. In this paper, we propose Mimosa that protects RSA private keys against the above software-based and physical memory attacks. When the Mimosa service is in idle, private keys are encrypted and reside in memory as cipher text. During the cryptographic computing, Mimosa uses hardware transactional memory (HTM) to ensure that (a) whenever a malicious process other than Mimosa attempts to read the plaintext private key, the transaction aborts and all sensitive data are automatically cleared with hardware mechanisms, due to the strong atomicity guarantee of HTM, and (b) all sensitive data, including private keys and intermediate states, appear as plaintext only within CPU-bound caches, and are never loaded to RAM chips. To the best of our knowledge, Mimosa is the first solution to use transactional memory to protect sensitive data against memory disclosure attacks. We have implemented Mimosa on a commodity machine with Intel Core i7 Haswell CPUs. Through extensive experiments, we show that Mimosa effectively protects cryptographic keys against various attacks that attempt to read sensitive data from memory, and it only introduces a small performance overhead.