Code Monkey home page Code Monkey logo

cepdnaclk / e16-4yp-post-quantum-cryptographic-schemes-based-on-plain-lattices Goto Github PK

View Code? Open in Web Editor NEW
8.0 4.0 6.0 37.58 MB

This project proposes the use of plain lattices with learning with errors problem to implement a cryptographic scheme which can run on classical computers and provides security against quantum based attacks. We are proposing key sizes for efficient operations and implement a lattice trapdoor function. Also we will improve current random oracle based model in to a standard model.

Home Page: https://cepdnaclk.github.io/e16-4yp-post-quantum-cryptographic-schemes-based-on-plain-lattices/

C++ 100.00%
cryptography lattice-based-crypto learning-with-errors post-quantum-cryptography public-key-cryptography random-oracle-model

e16-4yp-post-quantum-cryptographic-schemes-based-on-plain-lattices's Introduction


Efficient Implementations of Post Quantum Cryptographic Schemes Based on Plain Lattices


Introduction

Shor’s algorithm for quantum computers, enables us to solve Integer Factorization problems and Discrete Logarithm Problems in polynomial time. This jeopardizes the current public key schemes such as RSA, Diffie-Hellman key exchange. Therefore, we want secure cryptosystems under quantum computing for classical computers. One of the promising solutions for this is lattice-based cryptographic schemes with the Learning with Errors(LWE) problem.

The aim of the project is implementing acryptographic scheme based on plain lattices and LWE principles which are resistent to attacks from quantum based computers.

Team Members

  • E/16/049, Harshana Bandara, email
  • E/16/134, Yasitha Herath, email
  • E/16/388, Thushara Weerasundara, email

Supervisors

  • Dr. Qinyi Li, email
  • Dr. Janaka Alawathugoda, email
  • Prof. Roshan Ragel, email

Website

e16-4yp-post-quantum-cryptographic-schemes-based-on-plain-lattices's People

Contributors

harshanabandara avatar thusharaweerasundara avatar yasitha18243 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.