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A novel image encryption cryptosystem based on true random numbers and chaotic systems

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Abstract

To enhance the security of single-chaotic systems, we propose a novel image encryption cryptosystem based on true random numbers and chaotic systems. First, we select any one of several chaotic systems. Next, the hash function is used to calculate the initial value of the chaotic system using a plaintext image. Then, we obtain a solution of this chaotic system and use the k-medoids clustering machine-learning algorithm and chaotic sequence to scramble the original image. Finally, new random numbers obtained using a chaotic signal and true random numbers are used to perform the exclusive-OR operator on the scrambled results. To illustrate the effectiveness of our method, a one-dimensional (1D) logistic chaotic system is selected for image encryption. The simulation results show that compared with the existing models, such as image encryption based on chaos and image encryption based on the advanced encryption standar (AES), our method is simpler with a higher security and resists different classical attacks.

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Acknowledgements

This research is supported by 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), Jinan City’20 universities’ Funding Projects Introducing Innovation Team Program (No: 2019GXRC031), Research Fund of Guangxi Key Lab of Multi-source Information Mining & Security (No: MIMS20-M-02), and the Scientific and Technological Research Program of Chongqing Municipal Education Commission (Nos: KJ1703056 and KJQN201900529).

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Authors and Affiliations

  1. School of Mathematical Sciences, Chongqing Normal University, Chongqing, 401331, China

    Shuang Zhou

  2. School of Information Science and Technology, Dalian Maritime University, Dalian, 116026, China

    Xingyuan Wang & Suo Gao

  3. School of Information Science and Technology, Xiamen University Tan Kah Kee College, Xiamen, 363105, China

    Yingqian Zhang

  4. School of Electronical and Information Engineering, Nantong Vocational University, Nantong, 226001, China

    Bin Ge

  5. Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, 116024, China

    Mingxu Wang

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  1. Shuang Zhou
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Correspondence to Xingyuan Wang.

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Communicated by C. Yan.

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Zhou, S., Wang, X., Zhang, Y. et al. A novel image encryption cryptosystem based on true random numbers and chaotic systems. Multimedia Systems 28, 95–112 (2022). https://doi.org/10.1007/s00530-021-00803-8

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