• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2021, Vol. 43 ›› Issue (03): 456-464.

• 计算机网络与信息安全 • 上一篇    下一篇

基于Strcmp分解超Lorenz混沌的图像加密算法

靳旭文,李国东   

  1. (新疆财经大学统计与数据科学学院,新疆 乌鲁木齐 830012)
  • 收稿日期:2020-02-11 修回日期:2020-06-17 接受日期:2021-03-25 出版日期:2021-03-25 发布日期:2021-03-26
  • 基金资助:
    国家自然科学基金(11461063);新疆维吾尔自治区自然科学基金(2017D01A24);新疆财经大学基金(2019XTD002)

An image encryption algorithm based on Strcmp decomposition and hyperlorenz chaotic system

JIN Xu-wen,LI Guo-dong   

  1. (College of Statistics and Data Science,Xinjiang University of Finance and Economics,Urumqi 830012,China)

  • Received:2020-02-11 Revised:2020-06-17 Accepted:2021-03-25 Online:2021-03-25 Published:2021-03-26

摘要: 由于初始参数恒定造成混沌系统性能衰弱,且结合加密混沌源序列方式单一,因此,提出一种基于数理逻辑逆运算的Strcmp序列分解的图像加密算法,结合超Lorenz混沌系统并设置密文熵反馈机制,多次重置混沌发生器,利用分解的序列对图像分块进行优化置乱和加取模扩散加密。仿真实验表明,所提算法分解的序列随机性好,对Lena图像进行仿真,得到的NPCR值为99.62%,UACI值为3348%,熵值为7.999 4,相较其他算法能更有效地利用混沌序列,且对特殊图像亦具有良好的加密效果,因此能够有效地抵御选择明文攻击等。


关键词: 逻辑逆运算, Strcmp分解, 分块, 密文熵反馈, 图像加密

Abstract: Due to the constant initial parameters, the performance of the chaotic system is weak, and the combination of encryption chaotic source sequence is single. Therefore, a Strcmp sequence decomposition method based on mathematical logic inversion is proposed. It combines hyperlorenz chaotic system to set up the entropy feedback mechanism of ciphertext, and resets the chaos generator several times. The decomposed sequence is used to optimize the image block scrambling, and add and extract mode diffusion encryption. Simulation experiment shows that the decomposition sequence has good randomness. The NPCR value of the simulation object is 99.62%, the UACI value is 33.48%, and the entropy value is 7.9994, which was better than other combined source sequence algorithms. Besides, the algorithm also has good encryption effect on special images. Therefore, it can effectively resist the selected plaintext attacks.



Key words: logical inversion, Strcmp decomposition, block, entropy feedback of ciphertext, image encryption