期刊
INFORMATION SCIENCES
卷 539, 期 -, 页码 195-214出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2020.06.030
关键词
Matrix semi-tensor product; Boolean network; Compound key; Spatiotemporal chaos; Image encryption
资金
- National Natural Science Foundation of China [61672124]
- Password Theory Project of the 13th Five-Year Plan National Cryptography Development Fund [MMJJ20170203]
- Project of the Liaoning Province Science and Technology Innovation Leading Talents Program [XLYC1802013]
- Key R&D Projects of Liaoning Province [2019JH2/10300057]
- Jinan City '20 Universities' Funding Projects Introducing Innovation Team Program [2019GXRC031]
- Double First-rate Construction Project (Innovation Project) [SSCXXM012]
In this paper, a chaotic image encryption algorithm based on the matrix semi-tensor product (STP) with a compound secret key is designed. First, a new scrambling method is designed. The pixels of the initial plaintext image are randomly divided into four blocks. The pixels in each block are then subjected to different numbers of rounds of Arnold transformation, and the four blocks are combined to generate a scrambled image. Then, a compound secret key is designed. A set of pseudosecret keys is given and filtered through a synchronously updating Boolean network to generate the real secret key. This secret key is used as the initial value of the mixed linear-nonlinear coupled map lattice (MLNCML) system to generate a chaotic sequence. Finally, the STP operation is applied to the chaotic sequences and the scrambled image to generate an encrypted image. Compared with other encryption algorithms, the algorithm proposed in this paper is more secure and effective, and it is also suitable for color image encryption. (C) 2020 Elsevier Inc. All rights reserved.
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