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Image encryption algorithm based on DNA network and hyperchaotic system

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Abstract

This paper presents a novel deoxyribonucleic acid (DNA) network encryption method combined with a hyperchaotic system for image encryption. The DNA network encryption algorithm contains 12 different DNA operations, which overcomes the limitations of existing DNA encryption schemes that rely on limited fixed DNA operation types. Firstly, secure hash algorithm 256-bit (SHA-256) is employed to generate secret keys associated with the plaintext. Secondly, the hyperchaotic system is employed to derive key streams with high plaintext sensitivity. Thirdly, the DNA encoding, DNA network encryption and decoding are performed sequentially to encrypt the plaintext image using the keystreams. Finally, an additional row–column disruption is executed to strengthen the resistance of the encryption scheme to attacks. Security analysis reveals that the information entropy of our cipher image reaches 7.9975 and the average pixel correlation coefficients are below 0.01, implying that our encryption algorithm has excellent security.

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Acknowledgements

This work is supported by Key-Area Research and Development Program of Guangdong Province under the grant 2018B010108001.

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Authors and Affiliations

  1. School of Automation Science and Engineering, South China University of Technology, Guangdong, China

    Jinwei Yu, Kaiyu Peng, Langwen Zhang & Wei Xie

  2. Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, South China University of Technology, Guangdong, China

    Wei Xie

  3. Key Laboratory of Autonomous Systems and Networked Control, Ministry of Education, South China University of Technology, Guangdong, China

    Wei Xie

  4. Guangdong Engineering Technology Research Center of Unmanned Aerial Vehicle Systems, South China University of Technology, Guangdong, China

    Wei Xie

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  1. Jinwei Yu
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Yu, J., Peng, K., Zhang, L. et al. Image encryption algorithm based on DNA network and hyperchaotic system. Vis Comput 40, 8001–8021 (2024). https://doi.org/10.1007/s00371-023-03219-9

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