4.7 Article

A new color image encryption scheme based on DNA sequences and multiple improved 1D chaotic maps

期刊

APPLIED SOFT COMPUTING
卷 37, 期 -, 页码 24-39

出版社

ELSEVIER
DOI: 10.1016/j.asoc.2015.08.008

关键词

Color image encryption; Improved 1D chaotic system; DNA coding; Security analysis; Robustness

资金

  1. National Natural Science Foundation of China [61004006, 61203094]
  2. China Postdoctoral Science Foundation [2013M530181, 2015T80396]
  3. Natural Science Foundation of Henan Province, China [13230010254]
  4. Program for Science & Technology Innovation Talents in Universities of Henan Province, China [14HASTIT042]
  5. Foundation for University Young Key Teacher Program of Henan Province, China [2011GGJS-025]
  6. Shanghai Postdoctoral Scientific Program [13R21410600]
  7. Science & Technology Project Plan of Archives Bureau of Henan Province [2012-X-62]
  8. Natural Science Foundation of Educational Committee of Henan Province, China [13A520082]

向作者/读者索取更多资源

This paper proposes a new encryption scheme for color images based on Deoxyribonucleic acid (DNA) sequence operations and multiple improved one-dimensional (1D) chaotic systems with excellent performance. Firstly, the key streams are generated from three improved 1D chaotic systems by using the secret keys and the plain-image. Transform randomly the key streams and the plain-image into the DNA matrices by the DNA encoding rules, respectively. Secondly, perform the DNA complementary and XOR operations on the DNA matrices to get the scrambled DNA matrices. Thirdly, decompose equally the scrambled DNA matrices into blocks and shuffle these blocks randomly. Finally, implement the DNA XOR and addition operations on the DNA matrices obtained from the previous step and the key streams, and then convert the encrypted DNA matrices into the cipher-image by the DNA decoding rules. Experimental results and security analysis show that the proposed encryption scheme has a good encryption effect and high security. Moreover, it has a strong robustness for the common image processing operations and geometric attack. (C) 2015 Elsevier B.V. All rights reserved.

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