Knapsack cryptosystems are cryptosystems whose security is based on the hardness of solving the knapsack problem. They remain quite unpopular because simple versions of these algorithms have been broken for several decades. However, that type of cryptosystem is a good candidate for post-quantum cryptography. The most famous knapsack cryptosystem is the Merkle-Hellman Public Key Cryptosystem, one of the first public key cryptosystems, published the same year as the RSA cryptosystem. However, this system has been broken by several attacks: one from Shamir, one by Adleman, and the low density attack. However, there exist modern knapsack cryptosystems that are considered secure so far: among them is Nasako-Murakami 2006. Knapsack cryptosystems, when not subject to classical cryptoanalysis, are believed to be difficult even for quantum computers. That is not the case for systems that rely on factoring large integers, like RSA, or computing discrete logarithms, like ECDSA, problems solved in polynomial time with Shor's algorithm. (Wikipedia).
Other Public Key Cryptosystems: Part 1
Fundamental concepts of Diffie-Hellman Key exchange are discussed. ElGamal Cryptosystem is presented. Elliptic curves are Analyzed.
From playlist Network Security
Other Public Key Cryptosystems: Part 2
Fundamental concepts of Diffie-Hellman Key exchange are discussed. ElGamal Cryptosystem is presented. Elliptic curves are Analyzed.
From playlist Network Security
Cryptography is a complex and confusing subject. In this talk you will learn about the core components of cryptography used in software development: securing data with encryption, ensuring data integrity with hashes and digital signatures, and protecting passwords with key derivation funct
From playlist Blockchain
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 c
From playlist MIT 6.046J Design and Analysis of Algorithms, Spring 2015
Cryptanalysis of Classical 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
From playlist Computer - Cryptography and Network Security
Mathematical Ideas in Lattice Based Cryptography - Jill Pipher
2018 Program for Women and Mathematics Topic: Mathematical Ideas in Lattice Based Cryptography Speaker: Jill Pipher Affiliation: Brown University Date: May 21, 2018 For more videos, please visit http://video.ias.edu
From playlist Mathematics
Few other Cryptanalytic Techniques
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
From playlist Computer - Cryptography and Network Security
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
From playlist Computer - Cryptography and Network Security
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
From playlist Computer - Cryptography and Network Security
Math for Liberal Studies - Lecture 1.9 The Knapsack Problem
This video covers material from Math for Liberal Studies Section 1.9: The Knapsack Problem. In this video, I explain what the knapsack problem is, and we work through an example using a recursive algorithm to solve the problem.
From playlist Math for Liberal Studies Lectures
Knapsack Problem Using Dynamic Programming | 0/1 Knapsack Problem | Data Structures | Simplilearn
This video on knapsack Problem Using Dynamic Programming will acquaint you with a clear understanding of the fractional or 0-1 knapsack problem statement and solution implementation. In this Data Structure Tutorial, you will understand why the difference between 0-1 knapsack and fractional
From playlist Data Structures & Algorithms
0/1 Knapsack problem | Dynamic Programming
Overview of the 0/1 Knapsack problem using dynamic programming Algorithms repository: https://github.com/williamfiset/algorithms My website: http://www.williamfiset.com
From playlist Dynamic Programming
Knapsack, Bandwidth Min. Intro: Greedy Algorithms - Lecture 14
All rights reserved for http://www.aduni.org/ Published under the Creative Commons Attribution-ShareAlike license http://creativecommons.org/licenses/by-sa/2.0/ Tutorials by Instructor: Shai Simonson. http://www.stonehill.edu/compsci/shai.htm Visit the forum at: http://www.coderisland.c
From playlist ArsDigita Algorithms by Shai Simonson
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
From playlist Computer - Cryptography and Network Security
Steganography Tutorial - Hide Messages In Images
Steganography is the hiding of a secret message within an ordinary message and the extraction of it at its destination. Steganography takes cryptography a step further by hiding an encrypted message so that no one suspects it exists. Ideally, anyone scanning your data will fail to know it
From playlist Ethical Hacking & Penetration Testing - Complete Course
0-1 Knapsack Problem (Dynamic Programming)
Dynamic Programming Tutorial with 0-1 Knapsack Problem
From playlist Dynamic Programming Tutorial Series
1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag Prof. Guttag provides an overview of the course and discusses how we use computational models to understand the world in which we li
From playlist MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016
Heiko Röglin: Smoothed Analysis of Algorithms (Part 2)
The lecture was held within the framework of the Hausdorff Trimester Program: Combinatorial Optimization
From playlist HIM Lectures 2015
Adam Polak: Knapsack and Subset Sum with Small Items
Knapsack and Subset Sum are fundamental NP-hard problems in combinatorial optimization. Recently there has been a growing interest in understanding the best possible pseudopolynomial running times for these problems with respect to various parameters. In this paper we focus on the maximum
From playlist Workshop: Parametrized complexity and discrete optimization
An informal introduction to cryptography. Part of a larger series teaching programming at http://codeschool.org
From playlist Cryptography