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  • 标题:An Image Encryption Algorithm Based on Scrambling with Reversible Matrix Transformation and Chaotic Diffusion
  • 本地全文:下载
  • 作者:Zikang Wu ; Jietao Liang ; Rui Deng
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2020
  • 卷号:68
  • 期号:5
  • 页码:37-44
  • DOI:10.14445/22312803/IJCTT-V68I5P109
  • 出版社:Seventh Sense Research Group
  • 摘要:In view of the poor resistance against statistical analysis and weak security of simple twodimensional scrambling based image encryption algorithms, this paper proposes an image encryption algorithm combining image pixel scrambling and diffusion controlled by Chebyshev chaotic sequences. Firstly, twodimensional and threedimensional reversible scrambling matrices are generated and used to scramble the pixels positions and RGB color component vector, so as to weaken the correlation of adjacent pixels, the correlation of color components and greatly change the statistical characteristics of plainimage’s histogram. Then, the classical Chebyshev sequences are uniformized and used to diffuse the pixels components values. The security of the proposed encryption algorithm is simulated and analyzed from histogram, correlation coefficient, information entropy, key sensitivity and differential attack. Experimental results show that the proposed image encryption algorithm is strongly sensitive to key and plaintext, and can effectively resist exhaustive analysis, differential analysis and statistical analysis, etc. It is an encryption algorithm with high security and good encryption performance.
  • 关键词:Reversible scrambling matrix; chaotic sequence; diffusion; image encryption.
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