A self-cited pixel summation based image encryption algorithm Ye, Guo-Dong, Huang, Xiao-Ling, Zhang, Leo Yu and Wang, Zheng-Xia 2017, A self-cited pixel summation based image encryption algorithm, Chinese physics B, vol. 26, no. 1, pp. 1-8, doi: 10.1088/1674-1056/26/1/010501. Attached Files Name Description MIMEType Size Downloads Title A self-cited pixel summation based image encryption algorithm Author(s) Ye, Guo-Dong Huang, Xiao-Ling Zhang, Leo Yu Wang, Zheng-Xia Journal name Chinese physics B Volume number 26 Issue number 1 Article ID 010501 Start page 1 End page 8 Total pages 8 Publisher IOP Publishing Place of publication Bristol, Eng. Publication date 2017-01 ISSN 1674-1056 1741-4199 Keyword(s) pixel summation image encryption algorithm intertwining logistic map gravity security science & technology physical sciences physics, multidisciplinary physics Summary In this paper, a novel image encryption algorithm is presented based on self-cited pixel summation. With the classical mechanism of permutation plus diffusion, a pixel summation of the plain image is employed to make a gravity influence on the pixel positions in the permutation stage. Then, for each pixel in every step of the diffusion stage, the pixel summation calculated from the permuted image is updated. The values from a chaotic sequence generated by an intertwining logistic map are selected by this summation. Consequently, the keystreams generated in both stages are dependent on both the plain image and the permuted image. Because of the sensitivity of the chaotic map to its initial conditions and the plain-image-dependent keystreams, any tiny change in the secret key or the plain image would lead to a significantly different cipher image. As a result, the proposed encryption algorithm is immune to the known plaintext attack (KPA) and the chosen plaintext attack (CPA). Moreover, experimental simulations and security analyses show that the proposed permutation-diffusion encryption scheme can achieve a satisfactory level of security. Language eng DOI 10.1088/1674-1056/26/1/010501 HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2017, Chinese Physical Society and IOP Publishing Ltd Persistent URL http://hdl.handle.net/10536/DRO/DU:30107050 Document type: Journal Article Collection: School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 28 Mar 2018, 10:24:44 EST Thu, 29 Mar 2018, 04:00:06 EST Thu, 29 Mar 2018, 05:04:24 EST Thu, 29 Mar 2018, 13:12:34 EST Thu, 29 Mar 2018, 13:15:32 EST Thu, 29 Mar 2018, 13:16:12 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 8 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Wed, 28 Mar 2018, 10:24:44 EST

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