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A Novel Shuffling Technique Based on Fractional Chaotic Maps

dc.authoridWu, Guo-Cheng/0000-0002-1946-6770
dc.authorscopusid57188660477
dc.authorscopusid7005872966
dc.authorscopusid23390775700
dc.authorwosidBaleanu, Dumitru/B-9936-2012
dc.authorwosidWu, Guo-Cheng/T-9088-2017
dc.contributor.authorBai, Yun-Ru
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorWu, Guo-Cheng
dc.contributor.authorID56389tr_TR
dc.date.accessioned2020-04-02T20:27:28Z
dc.date.available2020-04-02T20:27:28Z
dc.date.issued2018
dc.departmentÇankaya Universityen_US
dc.department-temp[Bai, Yun-Ru; Wu, Guo-Cheng] Neijiang Normal Univ, Coll Math & Informat Sci, Data Recovery Key Lab Sichuan Prov, Neijiang 641100, Peoples R China; [Bai, Yun-Ru] Jagiellonian Univ, Fac Math & Comp Sci, Ul Lojasiewicza 6, PL-30348 Krakow, Poland; [Baleanu, Dumitru] Cankaya Univ, Dept Math, TR-06530 Ankara, Turkey; [Baleanu, Dumitru] Inst Space Sci, Magurele, Romaniaen_US
dc.descriptionWu, Guo-Cheng/0000-0002-1946-6770en_US
dc.description.abstractAn image encryption technique based on the fractional logistic map is designed in this work. A novel shuffling technique is established by use of fractional chaotic signals. Then it is used to scramble pixel positions. The results are analyzed in comparison with the classical logistic map. Since the employed fractional chaotic map holds complicated dynamics behavior, the encryption result is highly secure. Moreover, by experimental and statistical analysis, we demonstrate that the encryption performance is better than the results in literature. (C) 2018 Published by Elsevier GmbH.en_US
dc.description.sponsorshipSichuan Science and Technology Support Program; Open Fund of Key Laboratory of Numerical Simulation of Sichuan Province [2017ZZ001]; China Postdoctoral Science Foundation [2016M602632]en_US
dc.description.sponsorshipThis study was supported by Sichuan Science and Technology Support Program, Open Fund of Key Laboratory of Numerical Simulation of Sichuan Province (Grant No. 2017ZZ001) and China Postdoctoral Science Foundation (Grant No. 2016M602632).en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.citationBaleanu, Dumitru; Bai, Yun-Ru; Wu, Guo-Cheng, "A novel shuffling technique based on fractional chaotic maps", Optik, 168, pp. 553-562, (2018).en_US
dc.identifier.doi10.1016/j.ijleo.2018.04.054
dc.identifier.endpage562en_US
dc.identifier.issn0030-4026
dc.identifier.issn1618-1336
dc.identifier.scopus2-s2.0-85046143864
dc.identifier.scopusqualityQ1
dc.identifier.startpage553en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijleo.2018.04.054
dc.identifier.volume168en_US
dc.identifier.wosWOS:000436215800068
dc.identifier.wosqualityQ2
dc.language.isoenen_US
dc.publisherElsevier Gmbhen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage Encryption Techniqueen_US
dc.subjectShuffling Techniqueen_US
dc.subjectFractional Chaotic Seriesen_US
dc.subjectStatistical Analysisen_US
dc.titleA Novel Shuffling Technique Based on Fractional Chaotic Mapstr_TR
dc.titleA Novel Shuffling Technique Based on Fractional Chaotic Mapsen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationf4fffe56-21da-4879-94f9-c55e12e4ff62
relation.isAuthorOfPublication.latestForDiscoveryf4fffe56-21da-4879-94f9-c55e12e4ff62

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