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NETWORK SECURITY - DES (DATA ENCRYPTION STANDARD) ALGORITHM
 
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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
Lecture 6: Data Encryption Standard (DES): Key Schedule and Decryption by Christof Paar
 
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For slides, a problem set and more on learning cryptography, visit www.crypto-textbook.com
IDEA(International Data Encryption Algorithm) in hindi | CSS series #9
 
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Take the Full Course of Cryptography and Network Security What we Provide 1) 20 Videos (Index is given down) + More Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in Cryptography and Network Scurity To buy the course click https://goo.gl/mpbaK3 if you have any query email us at [email protected] Sample Notes : https://goo.gl/Ze1FpX or Fill the form we will contact you https://goo.gl/forms/2SO5NAhqFnjOiWvi2 Cryptography and System Security Index Lecture 1 Introduction to Cryptography and Security System Lecture 2 Security Goals and Mechanism Lecture 3 Symmetric Cipher Lecture 4 Substitution Cipher Lecture 5 Transposition Cipher Lecture 6 Stream and Block Cipher Lecture 7 Mono Alphabetic Cipher Lecture 8 Poly Alphabetic Cipher Lecture 9 Diffie Hellman Lecture 10 RSA Algorithm with Solved Example Lecture 11 IDEA Algorithm Full Working Lecture 12 SHA-1 Algorithm Full Working Lecture 13 Blowfish Algorithm Full working Lecture 14 DES Algorithm Full Working Lecture 15 Confusion and Diffusion Lecture 16 AES Algorithm Full working Lecture 17 Kerberos Lecture 18 Malicious Software ( Virus and worms ) Lecture 19 DOS and DDOS Attack Lecture 20 Digital Signature Full working Explained More videos Coming Soon.
Views: 35099 Last moment tuitions
R11. Cryptography: More Primitives
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: 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: 3376 MIT OpenCourseWare
22. Cryptography: Encryption
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: 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: 15430 MIT OpenCourseWare
Laws Of Logarithms (Discrete Maths)
 
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www.Stats-Lab.com | Discrete Maths | Functions | Logarithms
What is a trapdoor function?
 
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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: 7537 internet-class
AES (Rijndael) Explained Part 1
 
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In these video, I explain how AES works and what it is. In the first video, I go over a few basic things, and the first step in the encryption process, SubBytes. Video URL: http://403forbidden.dyndns.org/?page_id=177 Website: http://403forbidden.dyndns.org Email: [email protected] Twitter: http://www.twitter.com/403forbidden403
Views: 73967 403forbidden403
RSA Algorithm Animation
 
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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: 1033 Burak Parlak
5. Amortization: Amortized Analysis
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Erik Demaine In this lecture, Professor Demaine introduces analysis techniques for data structures, and the implementation of algorithms based on this analysis. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 36160 MIT OpenCourseWare
data encryption standard ,des animated  tutorial
 
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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: 69000 Zariga Tongy
SHA-1 (Secure hash Algorithm) working in English  | CSS series
 
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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: 50174 Last moment tuitions
Threat Monitoring (Firewall) and Technique of Encryption in Operating System
 
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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
RC4 in Python
 
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implementing RC4 in Python Key-scheduling algorithm (KSA) Pseudo-random generation algorithm (PRGA)
Views: 510 kareem ahmed
Block Cipher
 
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Views: 10387 Internetwork Security
1. Course Overview, Interval Scheduling
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: 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: 165587 MIT OpenCourseWare
Symmetric Key Ciphers
 
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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: 17645 nptelhrd
How to Generate Pseudorandom Numbers | Infinite Series
 
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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: 99593 PBS Infinite Series
Overview on S-Box Design Principles
 
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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: 25689 nptelhrd
RC4 Matlab
 
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Implementing RC4 in Matlab Key Scheduling Algorithm (KSA) Pseudo-random generation algorithm (PRGA)
Views: 214 kareem ahmed
RC4 Algorithm
 
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This shows the operation of the RC4 algorithm (limited to 5 bits instead of the usual 8) after the key scheduling has happened.
Views: 14458 jgrahamc
DES (Contd.).
 
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Views: 5246 Internetwork Security
Edexcel GCSE Computer Science: Encryption - Topic 12 [OLD COURSE]
 
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A short video on the basic of encryption, and the Caesar cipher algorithm. [email protected]
14. Incremental Improvement: Matching
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: 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: 15461 MIT OpenCourseWare
Early Unix Implementation - Applied Cryptography
 
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This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
Views: 795 Udacity
12 Jan 2015, Computing on Encrypted Data - Somewhat Homomorphic Encryption
 
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Summary of Talk: By equipping everyday devices with sensors and connecting them to the Internet, the Internet of Things opens up many exciting new applications. At the same time, however, the vast amount of data that is being collected and offloaded to the cloud poses a significant privacy risk. In this talk, I give a high-level overview of some of the existing cryptographic tools for privacy-preserving computation. I then focus on somewhat and fully homomorphic encryption, a powerful cryptographic primitive that has generated significant interest in the research community in the last few years. Finally, I show some experimental results on applying somewhat homomorphic encryption to performing elementary statistical analysis as well as private information retrieval in the cloud. Author Bio: David Wu is currently a second-year PhD student at Stanford working with Dan Boneh on problems in applied cryptography. Currently, his research is focused on developing practical privacy-preserving protocols for the cloud. He is currently supported by an NSF Graduate Research fellowship.
Key-Aggregate Searchable Encryption (KASE) for Group Data Sharing via Cloud Storage
 
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Key-Aggregate Searchable Encryption (KASE) for Group Data Sharing via 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: www.jpinfotech.org Blog: www.jpinfotech.blogspot.com ABSTRACT: The capability of selectively sharing encrypted data with different users via public cloud storage may greatly ease security concerns over inadvertent data leaks in the cloud. A key challenge to designing such encryption schemes lies in the efficient management of encryption keys. The desired flexibility of sharing any group of selected documents with any group of users demands different encryption keys to be used for different documents. However, this also implies the necessity of securely distributing to users a large number of keys for both encryption and search, and those users will have to securely store the received keys, and submit an equally large number of keyword trapdoors to the cloud in order to perform search over the shared data. The implied need for secure communication, storage, and complexity clearly renders the approach impractical. In this paper, we address this practical problem, which is largely neglected in the literature, by proposing the novel concept of key aggregate searchable encryption (KASE) and instantiating the concept through a concrete KASE scheme, in which a data owner only needs to distribute a single key to a user for sharing a large number of documents, and the user only needs to submit a single trapdoor to the cloud for querying the shared documents. The security analysis and performance evaluation both confirm that our proposed schemes are provably secure and practically efficient.
Views: 187 jpinfotechprojects
Quadratic Residue And Quadratic Non Residue | Modulo Prime | Cryptography
 
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Quadratic Residues and Non Residues Explained. Visit Our Channel :- https://www.youtube.com/channel/UCxik... In this lecture we have taught about what is CPU scheduling , how many types of CPU scheduling are there and basic introduction Follow Smit Kadvani on :- Facebook :- https://www.facebook.com/smit.kadvani Instagram :- https://www.instagram.com/the_smit0507 Follow Dhruvan Tanna on :- Facebook :- https://www.facebook.com/dhruvan.tanna1 Instagram :- https://www.instagram.com/dhru1_tanna Follow Keyur Thakkar on :- Facebook :- https://www.facebook.com/keyur.thakka... Instagram :- https://www.instagram.com/keyur_1982 Snapchat :- keyur1610 Follow Ankit Soni on:- Instagram :- https://www.instagram.com/ankit_soni1511
Views: 7978 Quick Trixx
11. Dynamic Programming: All-Pairs Shortest Paths
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Erik Demaine In this lecture, Professor Demaine covers different algorithmic solutions for the All-Pairs Shortest Paths problem. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 34328 MIT OpenCourseWare
Puzzle 2: The Best Time to Party
 
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MIT 6.S095 Programming for the Puzzled, IAP 2018 View the complete course: https://ocw.mit.edu/6-S095IAP18 Instructor: Srini Devadas Ever wanted to go to a party at just the right time so you can hang out with all the cool people? Prof. Devadas describes an efficient, algorithmic way of finding this time and explains how you can write a program that computes the best time. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Views: 6626 MIT OpenCourseWare
14. Depth-First Search (DFS), Topological Sort
 
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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: 221399 MIT OpenCourseWare
8. Randomization: Universal & Perfect Hashing
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: 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: 23583 MIT OpenCourseWare
CPU Playing Algorithm
 
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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: 175 aJack77
Divisible By Five Solution - Intro to Algorithms
 
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This video is part of an online course, Intro to Algorithms. Check out the course here: https://www.udacity.com/course/cs215.
Views: 719 Udacity
Seed Block Algorithm: A Remote Smart Data Back-up Technique for Cloud Computing
 
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In cloud computing, data generated in electronic form are large in amount. To maintain this data efficiently, there is a necessity of data recovery services. To cater this, in this paper we propose a smart remote data backup algorithm, Seed Block Algorithm (SBA). The objective of proposed algorithm is twofold, first it help the users to collect information from any remote location in the absence of network connectivity and second to recover the files in case of the file deletion or if the cloud gets destroyed due to any reason. The time related issues are also being solved by proposed SBA such that it will take minimum time for the recovery process. Proposed SBA also focuses on the security concept for the back-up files stored at remote server, without using any of the existing encryption techniques.
Extracting Speed Spectrum Hidden Data From Digital Media
 
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Title: Extracting Spread-Spectrum Hidden Data from Digital Media Domain: Networking - Steganography Key Features: 1. We consider the problem of extracting blindly data embedded over a wide band in a spectrum (transform) domain of a digital medium (image, audio, video). We develop a novel multicarrier/ signature iterative generalized least-squares (M-IGLS) core procedure to seek unknown data hidden in hosts via multicarrier spread-spectrum embedding. 2. Neither the original host nor the embedding carriers are assumed available. Experimental studies on images show that the developed algorithm can achieve recovery probability of error close to what may be attained with known embedding carriers and host autocorrelation matrix. 3. We propose the information hiding concept to reduce the risk of using cryptographic algorithms alone. Data hiding techniques embed information into another medium making it imperceptible to others, except for those that are meant to receive the hidden information and are aware of it presence. 4. It focuses on methods of hidden data in which cryptographic algorithms are combined with the information hiding techniques to increase the security of transmitted data. We focus our attention on the blind recovery of secret data hidden in medium hosts via multi-carrier/signature direct-sequence spread-spectrum transform domain embedding. MODULE DESCRIPTION Steganography: Steganography includes the concealment of information within computer files. In digital steganography, electronic communications may include steganographic coding inside of a transport layer, such as a document file, image file, program or protocol Digital steganography can hide confidential data (i.e. secret files) very securely by embedding them into some media data called "vessel data." The vessel data is also referred to as "carrier, cover, or dummy data". In Steganography images used for vessel data. The embedding operation in practice is to replace the "complex areas" on the bit planes of the vessel image with the confidential data. The most important aspect of Steganography is that the embedding capacity is very large. For a 'normal' image, roughly 50% of the data might be replaceable with secret data before image degradation becomes apparent. Multi-Carrier Spread Spectrum Embedding: The technique of spread spectrum may allow partly to fulfill the above requirements. Advantages of spread spectrum techniques are widely known: Immunity against multi-path distortion, no need for fiequency planning, high flexibility and variable data rate transmission. The capability of minimising multiple access interference in direct-sequence code- division-multiple-access system is given by the cross-correlation properties of spreading codes. In the case of multi-path propagation the capability of distinguishing one component fiom thers in the composite received signal is offered by the auto-correlation roperties of the spreading codes. Image encryption and watermarking: The host image is an 8-bit or higher grey level image which must ideally be the same size as the plaintext image or else resized accordingly using the same proportions. Pre-conditioning the cipher and the convolution processes are undertaken using a Discrete Fourier Transform (DFT). The output will include negative floating point numbers upon taking the real component of a complex array. The array must be rectified by adding the largest negative value in the output array to the same array before normalization. For color host images, the binary cipher text can be inserted into one or all of the RGB components. The binary plaintext image should have homogeneous margins to minimize the effects of ringing due to 'edge effects' when processing the data using Fourier transform. Image decryption and extraction: (i) The correlation operation should be undertaken using a DFT. (ii) For color images, the data is decomposed into each RGB component and each 1-bit layer is extracted and correlated with the appropriate cipher. (iii) The output obtained in Step 3 has a low dynamic range and therefore requires to be quantized into an 8-bit image based on floating point numbers within the range max (array)-min (array). For more details contact: E-Mail: [email protected] Purchase The Whole Project Kit for Rs 3000%. Project Kit: • 1 Review PPT • 2nd Review PPT • Full Coding with described algorithm • Video File • Full Document Note: *For bull purchase of projects and for outsourcing in various domains such as Java, .Net, .PHP, NS2, Matlab, Android, Embedded, Bio-Medical, Electrical, Robotic etc. contact us. *Contact for Real Time Projects, Web Development and Web Hosting services. *Comment and share on this video and win exciting developed projects for free of cost. Search Terms: 1. 2017 web mining projects 2. 2017 web mining ieee projects 3. 2017 latest data mining projects
Views: 2369 InnovationAdsOfIndia
IP Addressing in Computer Network Lec 1 for UPTU/gate in Hindi [HINDI]
 
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facebook - https://www.facebook.com/HTD-hub-2505... twitter - https://twitter.com/PatelShalik Hey, friends, I upload the videos in this channel in Hindi for Engineering student of UPTU and other universities for computer science and IT (information technology) students. like share and subscribe my channel
Gung Ho! - Packets Don't Lie (Bob loves Alice)
 
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Bob learns that life is a test and, THERE IS MATH ON THE TEST! His love for Alice must withstand the most modern of trials. First, before he can lock up secret messages to her, he must first give her the secret key to the lock. How? He can't lock that up. He must also realize that there are somethings, Alice will never share (nor should she, to protect her most vital interests). Finally it is likely impossible to determine what is true, but Bob learns that he can prove what is false. Good luck to our heroes Bob and Alice. The future of the world depends on people like you two. There is evil in this world that will spy, lie and cheat. No one is invulnerable to these challenges. But good will always triumph over evil. Gung Ho! For over 30 years, like Jedi Knights, have been defending the world from the forces of evil. A Nebulazone hookup. Produced by Otto Capobianco Labs (optional) Prerequisites: computer with Wireshark, web browser(s) and an internet connection. Lab1) Sniff the SSL handshake. Start capturing and open a session to an SSL site, e.g. Gmail. After you get the HTTPS in the URL, stop the capture. Filter on SSL and examine the Client Hello (try capture filter "ssl.handshake.type"). How many cipher suites does your browser support? Identify which symmetric, asymmetric and hashing algorithms are used in cipher spec 0x000005. Lab2) Examine the Server Hello. What cipher spec did the server negotiate? What algorithms make up the cipher spec? Lab3) Examine the Server's certificate and answer the following questions: Who signed the certificate? What hashing and asymmetric algorithms are used in the signature? Where is the CRL for this certificate? Does this certificate support OCSP? Lab 4) Filter on OCSP. How did the client identify the certificate in question? Who signed the response? EXTRA CREDIT! Change browsers and repeat the above. How many differences do you see? Did you expect that many? Lab 5) Cryptanalysis - Download Cryptool. Given the following text, derive the key: ______________________ Ixevz0 "Vgiqkzy Jut'z Rok; Huh Rubk'y Groik" Cuxjy gtj Sayoi he Rgxxe Mxkkthrgzz Vxujaikj ot g nuzkr xuus ot Grkdgtjxog BG Maozgxy (znxkk zxgiqy, cgcg, xuiqghorre gtj joxze uizgbk) vrgekj he Rgxxe. Xkiuxjkj ut g Fuus X24. Jxas zxgiq lxus X24 haorz ot sginotk. Rexoiy: O cgtz zu yngxk g rozzrk ykixkz Loxyz ck sayz huzn gmxkk O tkbkx ygoj O cgyt'z ixgfe Nkxk'y nuc oz ykksy zu sk Eua cgtz zu qkkv yusk znotmy vxobgzk O atjkxyzgtj gtj O xkyvkiz Yuskzosky oz ykksy yu ixgfe Nkxk'y nuc oz ykksy zu sk Hghe, eua'xk g yavkx nkxu O qtuc zngz yuatjy qotjg yzxgtmk Hghe O znotq znkxk muttg rubk eua Znotmy gxk tuz grcgey cngz znke ykks Nuc ju O qtuc oz'y xkgrre eua? Gtj cngz eua yge oy zxak? O qtuc znkxk'y znotmy O igt'z jkte Yuskzosky znk cuxrj ykksy yu ixgfe xomnz tuc Nkxk'y nuc oz ykksy zu sk Hghe, eua'xk g yavkx nkxu O qtuc somnz ykks otygtk Hghe, O znotq znkxk muttg rubk eua Vkuvrk gxkt'z grcgey cnu znke irgos
Views: 1127 Larry Greenblatt
(2/2) Computer Awareness for IBPS/SBI PO: DBMS, Computer Languages, MS Powerpoint-Excel-Word
 
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You can watch the entire course "Computer Awareness for SBI/IBPS PO" on Unacademy.com here:- https://goo.gl/z7QZN0 | You can download the Unacademy Learning App from the Google Play Store here:- https://goo.gl/02OhYI | Discuss the course with fellow aspirants here:- https://goo.gl/Xvxcd0 A comprehensive course, shared in two parts, that will help you master "Computer Awareness" for IBPS/SBI PO. The video covers topics - Database Management System (DBMS), Computer Languages, MS Powerpoint, MS Excel, and MS Word. For more lessons/courses on Banking Exam Preparation, please visit:- https://unacademy.com/banking-examination-ibps-sbi/. Don't forget to "pin" the topic so that you receive all the latest updates from this topic.
Views: 3829 Unacademy
C50 Example problem solving a system of linear DEs Part 2
 
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Part 2 of the prvious example problem, solving a system of linear differential equations, where one of the equations is non-homogeneous.
Views: 114 Juan Klopper
Episode 19 - Knapsack
 
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This week's episode will cover Knapsack and the solution to this problem: https://open.kattis.com/problems/thief 01:10 - Knapsack overview 04:45 - 0/1 knapsack 08:34 - 0/INF knapsack 11:55 - Iterative DP for knapsack 14:00 - Worked example for iterative DP 20:40 - 0/K knapsack 22:20 - Partition problem in relation to knapsack (Polarization) 25:20 - Reduction of partition to subset sum 26:35 - Speeding up O(n * S) in Polarization 30:22 - Iterative DP for Subset Sum with 0..K repetitions 38:12 - mapping back to 0/K Knapsack, O(n * S) again! 44:30 - Jewel Thief Thank you to Mikhail Goncharov for the time links!
Views: 2147 Algorithms Live!
13. Incremental Improvement: Max Flow, Min Cut
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: Srinivas Devadas In this lecture, Professor Devadas introduces network flow, and the Max Flow, Min Cut algorithm. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 42280 MIT OpenCourseWare
17. Complexity: Approximation Algorithms
 
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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: 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: 19755 MIT OpenCourseWare

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