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New insights into the existing image encryption algorithms based on DNA coding

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  • Xianglian Xue
  • Dongsheng Zhou
  • Changjun Zhou

Abstract

Because a DNA nucleotide sequence has the characteristics of large storage capacity, high parallelism, and low energy consumption, DNA cryptography is favored by information security researchers. Image encryption algorithms based on DNA coding have become a research hotspot in the field of image encryption and security. In this study, based on a comprehensive review of the existing studies and their results, we present new insights into the existing image encryption algorithms based on DNA coding. First, the existing algorithms were summarized and classified into five types, depending on the type of DNA coding: DNA fixed coding, DNA dynamic coding, different types of base complement operation, different DNA sequence algebraic operations, and combinations of multiple DNA operations. Second, we analyzed and studied each classification algorithm using simulation and obtained their advantages and disadvantages. Third, the DNA coding mechanisms, DNA algebraic operations, and DNA algebraic combination operations were compared and discussed. Then, a new scheme was proposed by combining the optimal coding mechanism with the optimal DNA coding operation. Finally, we revealed the shortcomings of the existing studies and the future direction for improving image encryption methods based on DNA coding.

Suggested Citation

  • Xianglian Xue & Dongsheng Zhou & Changjun Zhou, 2020. "New insights into the existing image encryption algorithms based on DNA coding," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-31, October.
    • Handle: RePEc:plo:pone00:0241184
    DOI: 10.1371/journal.pone.0241184
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    References listed on IDEAS

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    2. Arshad, Usman & Khan, Majid & Shaukat, Sajjad & Amin, Muhammad & Shah, Tariq, 2020. "An efficient image privacy scheme based on nonlinear chaotic system and linear canonical transformation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 546(C).
    3. Majid Khan & Fawad Masood & Abdullah Alghafis & Muhammad Amin & Syeda Iram Batool Naqvi, 2019. "A novel image encryption technique using hybrid method of discrete dynamical chaotic maps and Brownian motion," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-23, December.
    4. Alghafis, Abdullah & Firdousi, Faiza & Khan, Majid & Batool, Syeda Iram & Amin, Muhammad, 2020. "An efficient image encryption scheme based on chaotic and Deoxyribonucleic acid sequencing," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 177(C), pages 441-466.
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    1. Zhongyue Liang & Qiuxia Qin & Changjun Zhou & Ning Wang & Yi Xu & Wenshu Zhou, 2021. "Medical image encryption algorithm based on a new five-dimensional three-leaf chaotic system and genetic operation," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-32, November.

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