Parallel Encryption of Noisy Images Based on Sequence Generator and Chaotic Measurement Matrix

Jiayin Yu, Yaqin Xie, Shiyu Guo, Yanqi Zhou and Erfu Wang

Complexity, 2020, vol. 2020, 1-18

Abstract:

With the rapid development of information technology in today’s society, the security of transmission and the storage capacity of hardware are increasingly required in the process of image transmission. Compressed sensing technology can achieve data sampling and compression at the rate far lower than that of the Nyquist sampling theorem and can effectively improve the efficiency of information transmission. Aiming at the problem of weak security of compressed sensing, this study combines the cryptographic characteristics of chaotic systems with compressed sensing technology. In the actual research process, the existing image encryption technology needs to be applied to the hardware. This paper focuses on the combination of image encryption based on compressed sensing and digital logic circuits. We propose a novel technology of parallel image encryption based on a sequence generator. It uses a three-dimensional chaotic map with multiple stability to generate a measurement matrix. This study also analyzes the effectiveness, reliability, and security of the parallel encryption algorithm for source noise pollution with different distribution characteristics. Simulation results show that parallel encryption technology can effectively improve the efficiency of information transmission and greatly enhance its security through key space expansion.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:1987670

DOI: 10.1155/2020/1987670

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