Image encryption based on Logistic-Sine self-embedding chaotic sequence
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, Jian | - |
dc.contributor.author | Jiang, Wenjing | - |
dc.contributor.author | Xu, Heming | - |
dc.contributor.author | Wu, Xinpei | - |
dc.contributor.author | Kim, Junseok | - |
dc.date.accessioned | 2022-12-08T13:41:43Z | - |
dc.date.available | 2022-12-08T13:41:43Z | - |
dc.date.created | 2022-12-08 | - |
dc.date.issued | 2022-12 | - |
dc.identifier.issn | 0030-4026 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/146482 | - |
dc.description.abstract | In this article, for the security of image transmission, we present a novel image encryption algorithm based on Logistic-Sine self-embedding (LSSE) chaotic sequence. Firstly, we verify the effectiveness and superiority of the chaotic map by using a variety of indicators such as the Lyapunov exponent, bifurcation diagram, and 0-1 test. The chaotic key is combined with Arnold scrambling transformation to scramble the image, to break the high correlation between image pixels. Then, the image is diffused based on LSSE. The robustness and effectiveness of the proposed method are verified by various computational tests, and the scheme is analyzed using the performance indicators of histogram distribution, correlation, key sensitivity, attack test, and comparison with other algorithms. The computational experiments show that the algorithm has excellent performance and adequate security. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER GMBH | - |
dc.subject | ALGORITHM | - |
dc.subject | SYSTEM | - |
dc.subject | CRYPTANALYSIS | - |
dc.subject | PERMUTATION | - |
dc.subject | TIME | - |
dc.title | Image encryption based on Logistic-Sine self-embedding chaotic sequence | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Junseok | - |
dc.identifier.doi | 10.1016/j.ijleo.2022.170075 | - |
dc.identifier.scopusid | 2-s2.0-85140052850 | - |
dc.identifier.wosid | 000882760200007 | - |
dc.identifier.bibliographicCitation | OPTIK, v.271 | - |
dc.relation.isPartOf | OPTIK | - |
dc.citation.title | OPTIK | - |
dc.citation.volume | 271 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Optics | - |
dc.relation.journalWebOfScienceCategory | Optics | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | CRYPTANALYSIS | - |
dc.subject.keywordPlus | PERMUTATION | - |
dc.subject.keywordPlus | TIME | - |
dc.subject.keywordAuthor | Chaotic sequence | - |
dc.subject.keywordAuthor | Image encryption | - |
dc.subject.keywordAuthor | LSSE | - |
dc.subject.keywordAuthor | Scrambling | - |
dc.subject.keywordAuthor | Diffusion | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.