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In this paper, we propose a compressive ghost imaging encryption scheme based on the hyper-chaotic system, DNA encoding, and KSVD algorithm for the first time. First, a 4-dimensional hyper-chaotic system is used to generate four long pseudorandom sequences and diffuse the sequences with DNA operation to get the phase mask sequence, and then <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mi>N<\/mml:mi><\/mml:math> phase mask matrixes are generated from the sequences. Second, in order to improve the reconstruction efficiency, KSVD algorithm is used to generate dictionary <jats:italic>D<\/jats:italic> to sparse the image. The transmission key of the proposed scheme includes the initial values of hyper-chaotic and dictionary <jats:italic>D<\/jats:italic>, which has plaintext correlation and big key space. Compared with the existing compressive ghost imaging encryption scheme, the proposed scheme is more sensitive to initial values and more complexity and has smaller transmission key, which makes the encryption scheme more secure, and the reconstruction efficiency is higher too. Simulation results and security analysis demonstrate the good performance of the proposed scheme.<\/jats:p>","DOI":"10.1155\/2020\/8815315","type":"journal-article","created":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T08:48:53Z","timestamp":1602060533000},"page":"1-13","source":"Crossref","is-referenced-by-count":12,"title":["Protecting Compressive Ghost Imaging with Hyperchaotic System and DNA Encoding"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9474-7778","authenticated-orcid":true,"given":"Jingru","family":"Sun","sequence":"first","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mu","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, 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