GithubHelp home page GithubHelp logo

hhhhjjjjkkkk / cryptanalysis-of-mhm Goto Github PK

View Code? Open in Web Editor NEW

This project forked from zhoukanglei/cryptanalysis-of-mhm

0.0 0.0 0.0 79.07 MB

Implementation of Cryptanalyzing an image encryption based on a modified Henon map using hybrid chaotic shift transform (DSP 2019)

MATLAB 100.00%

cryptanalysis-of-mhm's Introduction

Cryptanalyzing an image encryption based on a modified Henon map using hybrid chaotic shift transform

Recently, a novel image encryption scheme has been proposed based on a modified Henon map using hybrid chaotic shift transform. This paper analyzes the security of the original encryption scheme and finds it insecure against the chosen-plaintext attack. Meanwhile, an efficient strategy is proposed to break the original encryption scheme with several chosen-plaintext attacks. The experimental results show that all the keys can be revealed with a time complexity of only O(⌈MNlogc⁡(MN)⌉). Furthermore, some improvement suggestions are proposed.

Paper Address | Download Paper

Framework

Flowchart of the proposed attack strategy.

Results

The validity of the proposed cryptanalysis: images from column 1 to column 6 show plain images, cipher images, images with the diffusion effect eliminated, retrieved permutation-only images, final restored images and the XOR results for column 1 and column 5.

Citation

  • bibtex
@article{zhou2019cryptanalyzing,
  title={Cryptanalyzing an image encryption based on a modified Henon map using hybrid chaotic shift transform},
  author={Zhou, Kanglei and Xu, Minghui and Luo, Jidong and Fan, Haiju and Li, Ming},
  journal={Digital Signal Processing},
  volume={93},
  pages={115--127},
  year={2019},
  publisher={Elsevier}
}
  • MLA
Zhou, Kanglei, et al. "Cryptanalyzing an image encryption based on a modified Henon map using hybrid chaotic shift transform." Digital Signal Processing 93 (2019): 115-127.

Contact

Please feel free to contact me via zhoukanglei[at]qq.com.

cryptanalysis-of-mhm's People

Contributors

zhoukanglei 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.