Sparse compression-based image encryption using data encryption standards RC5

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dc.contributor.author Pathak, Arghya
dc.contributor.author Mondal, Hrishikesh
dc.contributor.author Karmakar, Jayashree
dc.contributor.author Pal, Subhashish
dc.contributor.author Nandi, Debasish
dc.contributor.author Mandal, Mrinal Kanti
dc.coverage.spatial United Kingdom
dc.date.accessioned 2023-08-09T14:08:52Z
dc.date.available 2023-08-09T14:08:52Z
dc.date.issued 2023-07
dc.identifier.citation Pathak, Arghya; Mondal, Hrishikesh; Karmakar, Jayashree; Pal, Subhashish; Nandi, Debasish and Mandal, Mrinal Kanti, "Sparse compression-based image encryption using data encryption standards RC5", IETE Technical Review, DOI: 10.1080/02564602.2023.2240286, Jul. 2023.
dc.identifier.issn 0256-4602
dc.identifier.issn 0974-5971
dc.identifier.uri https://doi.org/10.1080/02564602.2023.2240286
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/9089
dc.description.abstract In this work, we have used the standard symmetric key block cipher data encryption algorithm RC5(32,16,8) for the encryption of digital greyscale images. For this, we have only considered the nonzero elements of the sparse matrix of the images which have been generated using the sparse representation technique. The security strength of the proposed technique is verified through different quality parameters, e.g. information entropy, correlation coefficients, NPCR, UACI, and NIST test. Our proposed algorithm achieved the maximum information entropy value of 7.9977 for the cameraman image and nearly zero correlation coefficient values establish the robustness of the cryptosystem. The highest NPCR and UACI values obtained in our work are 99.6916 and 33.9605, which are closer to the maximum theoretical values. The proposed technique is also compared with some of the contemporary works to validate the credibility of our proposed algorithm.
dc.description.statementofresponsibility by Arghya Pathak, Hrishikesh Mondal, Jayashree Karmakar, Subhashish Pal, Debasish Nandi and Mrinal Kanti Mandal
dc.language.iso en_US
dc.publisher Taylor and Francis
dc.subject Sparse representation
dc.subject Data compression
dc.subject Dictionary learning
dc.subject RC5 encryption
dc.subject Symmetric block Cipher
dc.title Sparse compression-based image encryption using data encryption standards RC5
dc.type Article
dc.relation.journal IETE Technical Review


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