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A secure image encryption scheme based on genetic mutation and MLNCML chaotic system

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Abstract

This paper presents a novel encryption scheme based on genetic operations and Mixed Linear-Nonlinear Coupled Logistic Map Lattice (MLNCML) spatiotemporal chaotic system. The initial values of the MLNCML system are related to the plain-image. Therefore, this scheme is sensitive to the plaintext and keys. For the simplicity and efficiency of the encryption process, expanded XOR (eXOR) operation and genetic operations are applied in the scheme. Spatiotemporal chaotic system can resist dynamical degradation and periodic phenomena, which offers good randomness for encryption. Moreover, the eXOR operation in this paper can effectively avoid the chosen-plaintext attack of traditional XOR operation. The DNA mutation and crossover operations are controlled by chaotic sequences, which overcome man-in-the-middle attack in the traditional DNA addition and subtraction operation. The experimental results indicate that the proposed scheme has good security to resist common attacks.

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Funding

This research is supported by the Program for the Natural Science Foundation of Fujian Province of China (No.2018 J01100), the National Natural Science Foundation of China (No: 61672124), the Password Theory Project of the 13th Five-Year Plan National Cryptography Development Fund (No: MMJJ20170203), Liaoning Province Science and Technology Innovation Leading Talents Program Project (No: XLYC1802013), Key R&D Projects of Liaoning Province (No: 2019020105-JH2/103), Educational Scientific Research of Middle-aged and Young Teacher of Fujian Province of China (No: JAT191078).

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Authors and Affiliations

  1. School of Information Science & Technology, Xiamen University Tan Kah Kee College, Zhangzhou, 363105, China

    Ying-Qian Zhang, Hui-Fang Huang & Xin-Hao Huang

  2. Information Science & Technology College, Dalian Maritime University, Dalian, 116023, China

    Xing-Yuan Wang

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  1. Ying-Qian Zhang
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  2. Hui-Fang Huang
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  3. Xing-Yuan Wang
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  4. Xin-Hao Huang
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Correspondence to Ying-Qian Zhang or Hui-Fang Huang.

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Zhang, YQ., Huang, HF., Wang, XY. et al. A secure image encryption scheme based on genetic mutation and MLNCML chaotic system. Multimed Tools Appl 80, 19291–19305 (2021). https://doi.org/10.1007/s11042-021-10724-3

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  • DOI: https://doi.org/10.1007/s11042-021-10724-3

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