Advanced Search
Volume 36 Issue 6
Jul.  2014
Turn off MathJax
Article Contents
Liu Quan, Li Pei-Yue, Zhang Ming-Chao, Sui Yong-Xin, Yang Huai-Jiang. Image Encryption Algorithm Based on Chaos System having Markov Portion[J]. Journal of Electronics & Information Technology, 2014, 36(6): 1271-1277. doi: 10.3724/SP.J.1146.2013.01246
Citation: Liu Quan, Li Pei-Yue, Zhang Ming-Chao, Sui Yong-Xin, Yang Huai-Jiang. Image Encryption Algorithm Based on Chaos System having Markov Portion[J]. Journal of Electronics & Information Technology, 2014, 36(6): 1271-1277. doi: 10.3724/SP.J.1146.2013.01246

Image Encryption Algorithm Based on Chaos System having Markov Portion

doi: 10.3724/SP.J.1146.2013.01246 cstr: 32379.14.SP.J.1146.2013.01246
  • Received Date: 2013-08-19
  • Rev Recd Date: 2013-11-21
  • Publish Date: 2014-06-19
  • In order to construct a high complexity, secure and low cost image encryption algorithm, a class of chaos with Markov properties is studied and used to build the encryption algorithm. First, the key stream generator is designed by the Markov Chaos with changeable parameters and the improved spatiotemporal chaos. Then, a true uniform random number generator is used to disturb the original key of the algorithm, which can dynamically change the mixed matrix and the key stream. Finally, the diffusion function is built by two iterations of the round function which is composed of different kinds of additions in different groups to increase the complexity of decipher. The experiments indicate that the key stream possesses good statistical properties, and the characteristic of the original image is broken which makes the cipher image undistinguishable. The further analysis indicates that the proposed algorithm can resist some known attacks like differential attacks, and the proposed algorithm is more efficient than the existed algorithms based on super chaos. Additionally, the proposed algorithm is easy to realize and can satisfy the security and efficiency requirements, which indicates promising applications.
  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2501) PDF downloads(784) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return