中国物理B ›› 2021, Vol. 30 ›› Issue (6): 60508-060508.doi: 10.1088/1674-1056/abda35

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Fractal sorting vector-based least significant bit chaotic permutation for image encryption

Yong-Jin Xian(咸永锦)1, Xing-Yuan Wang(王兴元)1,†, Ying-Qian Zhang(张盈谦)2, Xiao-Yu Wang(王晓雨)1, and Xiao-Hui Du(杜晓慧)1   

  1. 1 School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;
    2 School of Information Science and Technology, Xiamen University Tan Kah Kee College, Zhangzhou 363105, China
  • 收稿日期:2020-12-02 修回日期:2021-01-10 接受日期:2021-01-11 出版日期:2021-05-18 发布日期:2021-05-27
  • 通讯作者: Xing-Yuan Wang E-mail:xywang@dlmu.edu.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 61672124), the Password Theory Project of the 13th Five-Year Plan National Cryptography Development Fund, China (Grant No. MMJJ20170203), the Liaoning Provincial Science and Technology Innovation Leading Talents Program Project, China (Grant No. XLYC1802013), the Key Research and Development Projects of Liaoning Province, China (Grant No. 2019020105-JH2/103), and the Jinan City 20-University Funding Projects for Introducing Innovation Team Program, China (Grant No. 2019GXRC031).

Fractal sorting vector-based least significant bit chaotic permutation for image encryption

Yong-Jin Xian(咸永锦)1, Xing-Yuan Wang(王兴元)1,†, Ying-Qian Zhang(张盈谦)2, Xiao-Yu Wang(王晓雨)1, and Xiao-Hui Du(杜晓慧)1   

  1. 1 School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China;
    2 School of Information Science and Technology, Xiamen University Tan Kah Kee College, Zhangzhou 363105, China
  • Received:2020-12-02 Revised:2021-01-10 Accepted:2021-01-11 Online:2021-05-18 Published:2021-05-27
  • Contact: Xing-Yuan Wang E-mail:xywang@dlmu.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 61672124), the Password Theory Project of the 13th Five-Year Plan National Cryptography Development Fund, China (Grant No. MMJJ20170203), the Liaoning Provincial Science and Technology Innovation Leading Talents Program Project, China (Grant No. XLYC1802013), the Key Research and Development Projects of Liaoning Province, China (Grant No. 2019020105-JH2/103), and the Jinan City 20-University Funding Projects for Introducing Innovation Team Program, China (Grant No. 2019GXRC031).

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摘要： The image's least significant bit (LSB) covers lots of the details that have been commonly used in image encryption analysis. The newly proposed fractal sorting vector (FSV) and FSV-based LSB chaotic permutation (FSV-LSBCP) is a novel chaotic image encryption cryptosystem introduced in this article. The FSV-LSBCP effectively strengthens the security of the cryptographic scheme concerning the properties of the FSV. Key analysis, statistical analysis, resistance differential attack analysis, and resistance to cropping attacks and noise attacks are the focus of the suggested image encryption cryptosystem. The security experiment shows that the cryptosystem is adequate to achieve the desired degree of security.

关键词: chaotic image encryption, fractal sorting vector, bit-level permutation, FSV-based LSB chaotic permutation

Abstract: The image's least significant bit (LSB) covers lots of the details that have been commonly used in image encryption analysis. The newly proposed fractal sorting vector (FSV) and FSV-based LSB chaotic permutation (FSV-LSBCP) is a novel chaotic image encryption cryptosystem introduced in this article. The FSV-LSBCP effectively strengthens the security of the cryptographic scheme concerning the properties of the FSV. Key analysis, statistical analysis, resistance differential attack analysis, and resistance to cropping attacks and noise attacks are the focus of the suggested image encryption cryptosystem. The security experiment shows that the cryptosystem is adequate to achieve the desired degree of security.

Key words: chaotic image encryption, fractal sorting vector, bit-level permutation, FSV-based LSB chaotic permutation

中图分类号:  (Control of chaos, applications of chaos)

  • 05.45.Gg
05.45.Df (Fractals) 07.05.Pj (Image processing) 05.45.Df (Fractals)