An Image Compression Encryption Algorithm Based on Chaos and ZUC Stream Cipher

Xiaomeng Song; Mengna Shi; Yanqi Zhou; Erfu Wang

doi:10.3390/e24050742

An Image Compression Encryption Algorithm Based on Chaos and ZUC Stream Cipher

Entropy (Basel). 2022 May 23;24(5):742. doi: 10.3390/e24050742.

Authors

Xiaomeng Song¹, Mengna Shi¹, Yanqi Zhou¹, Erfu Wang¹

Affiliation

¹ Electrical Engineering College, Heilongjiang University, Harbin 150080, China.

Abstract

In order to improve the transmission efficiency and security of image encryption, we combined a ZUC stream cipher and chaotic compressed sensing to perform image encryption. The parallel compressed sensing method is adopted to ensure the encryption and decryption efficiency. The ZUC stream cipher is used to sample the one-dimensional chaotic map to reduce the correlation between elements and improve the randomness of the chaotic sequence. The compressed sensing measurement matrix is constructed by using the sampled chaotic sequence to improve the image restoration effect. In order to reduce the block effect after the parallel compressed sensing operation, we also propose a method of a random block of images. Simulation analysis shows that the algorithm demonstrated better encryption and compression performance.

Keywords: ZUC stream cipher; chaos; compressed sensing; image encryption.

Grants and funding

This work was supported by the Natural Science Foundation of Heilongjiang Province (LH2019F048) and Outstanding Youth Fund of Heilongjiang University.