{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,12]],"date-time":"2026-07-12T12:02:58Z","timestamp":1783857778616,"version":"3.55.0"},"reference-count":44,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Natural Science Foundation of Heilongjiang Province","award":["LH2019F048"],"award-info":[{"award-number":["LH2019F048"]}]},{"name":"Outstanding Youth Fund of Heilongjiang University","award":["LH2019F048"],"award-info":[{"award-number":["LH2019F048"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/e24050742","type":"journal-article","created":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T22:57:22Z","timestamp":1653346642000},"page":"742","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["An Image Compression Encryption Algorithm Based on Chaos and ZUC Stream Cipher"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1342-3830","authenticated-orcid":false,"given":"Xiaomeng","family":"Song","sequence":"first","affiliation":[{"name":"Electrical Engineering College, Heilongjiang University, Harbin 150080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengna","family":"Shi","sequence":"additional","affiliation":[{"name":"Electrical Engineering College, Heilongjiang University, Harbin 150080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanqi","family":"Zhou","sequence":"additional","affiliation":[{"name":"Electrical Engineering College, Heilongjiang University, Harbin 150080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3161-7225","authenticated-orcid":false,"given":"Erfu","family":"Wang","sequence":"additional","affiliation":[{"name":"Electrical Engineering College, Heilongjiang University, Harbin 150080, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6785","DOI":"10.1016\/j.aej.2021.12.023","article-title":"Double image encryption algorithm based on compressive sensing and elliptic curve","volume":"61","author":"Ye","year":"2022","journal-title":"Alex. 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