Paper
4 August 2022 A new two-dimensional coupled chaos and semi-tensor compressed sensing are used for joint compression encryption
Biying Jiang, Tailin Han, Bo Xu, Zhenglin Xie, Hong Liu
Author Affiliations +
Proceedings Volume 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022); 123061N (2022) https://doi.org/10.1117/12.2641309
Event: Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 2022, Changchun, China
Abstract
In order to meet the requirements of high efficiency and security of data processing in wireless distributed transient pressure testing system, a new data compression and encryption acquisition method combining two-dimensional coupling cascade chaos map and semi-tensor compression sensing is proposed in this paper. Firstly, the cascade chaotic system based on sine function enhancement has better chaos complexity and larger chaos range than seed mapping. In this paper, a sinusoidal chaotic coupling cascade model is proposed. Secondly, the chaotic system is mapped to a compressed sensing observation matrix, and the dimension of the observation matrix in the sampling process is reduced by using semi-tensor theory. Finally, an experimental analysis of the 50psi measured shock wave combined compression encryption shows that the encrypted key space is 1064 with a compression ratio of 1∕4, the key sensitivity is 10-16, and the reconstruction error is less than 0.006 under the noise interference of 10dB, which meets the transmission requirements of wireless sensor networks.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Biying Jiang, Tailin Han, Bo Xu, Zhenglin Xie, and Hong Liu "A new two-dimensional coupled chaos and semi-tensor compressed sensing are used for joint compression encryption", Proc. SPIE 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 123061N (4 August 2022); https://doi.org/10.1117/12.2641309
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KEYWORDS
Complex systems

Chaos

Compressed sensing

Computer security

Data compression

Information security

Network security

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