Synchronization of Boolean networks with chaos-driving and its application in image cryptosystem

被引:2
作者
Yan, Peng-Fei [1 ]
Zhang, Hao [1 ]
Zhang, Chuan [2 ]
Chang, Rui-Yun [1 ]
Sun, Yu-Jie [3 ]
机构
[1] Taiyuan Univ Technol, Coll Informat & Comp, Taiyuan, Peoples R China
[2] Qufu Normal Univ, Sch Math Sci, Qufu, Peoples R China
[3] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
biology computing; chaos; compressed sensing; cryptography; image coding; SEMI-TENSOR PRODUCT; ENCRYPTION ALGORITHM;
D O I
10.1049/ipr2.12926
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a Boolean network model with high dimensional chaos driving and investigates the synchronization of the chaos-driven Boolean network with a semi-tensor product. In order to protect the privacy and ensure the security of image transmission, the synchronization results are utilized in the image cryptosystem to achieve compression and encryption. First, the driving chaos system is coupled with multiple local systems and synchronized with the transmitted encrypted signals. Second, the Boolean network is driven and synchronized with derived chaos signals. Finally, images are encrypted and compressed with chaos-driven Boolean network signals in the transmitter, and then decrypted and recovered with synchronized chaos and Boolean network signals in the recipient. Because of the complexities of high dimensional chaos and Boolean network, the proposed cryptosystem has good security in the secure communication and image process. This paper proposes a Boolean network model with high dimensional chaos driving and studies the synchronization of the chaos driving Boolean network with a semi-tensor product. In addition, the synchronization results are utilized in the image cryptosystem to achieve compression and encryption. image
引用
收藏
页码:4176 / 4189
页数:14
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