Asymmetric image encryption algorithm based on a new three-dimensional improved logistic chaotic map

被引:0
|
作者
叶国栋 [1 ,2 ]
吴惠山 [1 ]
黄小玲 [1 ]
Syh-Yuan Tan [3 ]
机构
[1] Faculty of Mathematics and Computer Science, Guangdong Ocean University
[2] Guangdong Provincial Engineering and Technology Research Center of Far Sea Fisheries Management and Fishing of South China Sea
[3] School of Computing, Newcastle University
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TP309.7 [加密与解密];
学科分类号
081201 ; 0839 ; 1402 ;
摘要
Based on some analyses of existing chaotic image encryption frameworks and a new designed three-dimensional improved logistic chaotic map(3D-ILM), an asymmetric image encryption algorithm using public-key Rivest–Shamir–Adleman(RSA) is presented in this paper. In the first stage, a new 3D-ILM is proposed to enhance the chaotic behavior considering analysis of time sequence, Lyapunov exponent, and Shannon entropy. In the second stage, combined with the public key RSA algorithm, a new key acquisition mathematical model(MKA) is constructed to obtain the initial keys for the 3D-ILM. Consequently, the key stream can be produced depending on the plain image for a higher security. Moreover,a novel process model(NPM) for the input of the 3D-ILM is built, which is built to improve the distribution uniformity of the chaotic sequence. In the third stage, to encrypt the plain image, a pre-process by exclusive OR(XOR) operation with a random matrix is applied. Then, the pre-processed image is performed by a permutation for rows, a downward modulo function for adjacent pixels, a permutation for columns, a forward direction XOR addition-modulo diffusion, and a backward direction XOR addition-modulo diffusion to achieve the final cipher image. Moreover, experiments show that the the proposed algorithm has a better performance. Especially, the number of pixels change rate(NPCR) is close to ideal case 99.6094%, with the unified average changing intensity(UACI) close to 33.4634%, and the information entropy(IE)close to 8.
引用
收藏
页码:186 / 196
页数:11
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