Color image encryption via Hénon-zigzag map and chaotic restricted Boltzmann machine over Blockchain

•A random number generator, chaotic restricted Boltzmann machine (CRBM) is designed.•A color image encryption algorithm using the Hénon-zigzag map and CRBM is proposed.•Asymmetric image encryption system with tamper detection capability is designed. A color image encryption algorithm using the Hénon...

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Veröffentlicht in:Optics and laser technology Jg. 135; S. 106610
Hauptverfasser: Feixiang, Zhao, Mingzhe, Liu, Kun, Wang, Hong, Zhang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Ltd 01.03.2021
Elsevier BV
Schlagworte:
Algorithms
Blockchain
Chaotic map
Chaotic restricted Boltzmann machine
Color imagery
Cryptography
Digital imaging
Encryption
Image encryption
Numbers
Permutations
Pseudorandom
Random numbers
Sequences
Image encryption
Chaotic map
Chaotic restricted Boltzmann machine
Blockchain
ISSN:0030-3992, 1879-2545
Online-Zugang:Volltext
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Zusammenfassung:•A random number generator, chaotic restricted Boltzmann machine (CRBM) is designed.•A color image encryption algorithm using the Hénon-zigzag map and CRBM is proposed.•Asymmetric image encryption system with tamper detection capability is designed. A color image encryption algorithm using the Hénon-zigzag map and chaotic restricted Boltzmann machine (CRBM) is proposed in this paper. The proposed pseudo-random number generator, chaotic restricted Boltzmann machine (CRBM), can simultaneously generate three pseudo-random number sequences. The algorithm includes the permutation phase and the diffusion phase. In the Hénon-zigzag map-based permutation phase, zigzag map is used to modulate two pseudo-random number sequences generated by Hénon map to obtain two new pseudo-random number sequences. The mixing of these two chaotic maps makes the security of the permutation phase significantly improve. Subsequently the two pseudo-random number sequences are used for row permutation and column permutation, respectively. In the diffusion phase, through multiple iterations of CRBM of the 3 × 3 architecture, three pseudo-random number sequences are generated by the state values of three neurons in the visible layer. Then these three pseudo-random number sequences are used for bitxor operation with the R, G and B components of the scrambled image, respectively. A series of numerical experiments and analyses on encrypted images prove that the proposed algorithm is more secure than state-of-the-art algorithms. Furthermore, based on the combined use of blockchain and the proposed algorithm, a novel image encryption/decryption system is proposed. The system has two features: asymmetric encryption/decryption of images and authoritative verification of the integrity of encrypted images. It may provide a better understanding of blockchain in digital image encryption.
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ISSN:0030-3992
1879-2545
DOI:10.1016/j.optlastec.2020.106610