Back to Search Start Over

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

Authors :
Peng‐Fei Yan
Hao Zhang
Chuan Zhang
Rui‐Yun Chang
Yu‐Jie Sun
Source :
IET Image Processing, Vol 17, Iss 14, Pp 4176-4189 (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
17519667 and 17519659
Volume :
17
Issue :
14
Database :
Directory of Open Access Journals
Journal :
IET Image Processing
Publication Type :
Academic Journal
Accession number :
edsdoj.6d84b8d9730c41caa6a8a5791cd5a2c8
Document Type :
article
Full Text :
https://doi.org/10.1049/ipr2.12926