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New Variable-Order Fractional Chaotic Systems for Fast Image Encryption

dc.contributor.author Deng, Zhen-Guo
dc.contributor.author Baleanu, Dumitru
dc.contributor.author Zeng, De-Qiang
dc.contributor.author Wu, Guo-Cheng
dc.contributor.authorID 56389 tr_TR
dc.contributor.other 02.02. Matematik
dc.contributor.other 02. Fen-Edebiyat Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2020-02-12T07:11:55Z
dc.date.accessioned 2025-09-18T12:05:23Z
dc.date.available 2020-02-12T07:11:55Z
dc.date.available 2025-09-18T12:05:23Z
dc.date.issued 2019
dc.description Wu, Guo-Cheng/0000-0002-1946-6770 en_US
dc.description.abstract New variable-order fractional chaotic systems are proposed in this paper. A concept of short memory is introduced where the initial point in the Caputo derivative is varied. The fractional order is defined by the use of a piecewise constant function which leads to rich chaotic dynamics. The predictor-corrector method is adopted, and numerical solutions of fractional delay equations are obtained. Then, this concept is extended to fractional difference equations, and generalized chaotic behaviors are discussed numerically. Finally, the new fractional chaotic models are applied to block image encryption and each block has a different fractional order. The new chaotic system improves security of the image encryption and saves the encryption time greatly. Published under license by AIP Publishing. en_US
dc.description.publishedMonth 8
dc.description.sponsorship Sichuan Province Youth Science and Technology Innovation Team [2019JDTD0015]; Sichuan Science and Technology Support Program [2017JY0199, 2018JY0120]; Guangxi Natural Science Foundation [2016GXNSFAA380261]; China Postdoctoral Science Foundation [2016M602632] en_US
dc.description.sponsorship This study was financially supported by the Sichuan Province Youth Science and Technology Innovation Team (Grant No. 2019JDTD0015), the Sichuan Science and Technology Support Program (Grant Nos. 2017JY0199 and 2018JY0120), the Guangxi Natural Science Foundation (Grant No. 2016GXNSFAA380261), and the China Postdoctoral Science Foundation (Grant No. 2016M602632). en_US
dc.identifier.citation Wu, Guo-Cheng...et al. (2019). "New variable-order fractional chaotic systems for fast image encryption", Chaos, Vol. 28, No. 8. en_US
dc.identifier.doi 10.1063/1.5096645
dc.identifier.issn 1054-1500
dc.identifier.issn 1089-7682
dc.identifier.scopus 2-s2.0-85070440069
dc.identifier.uri https://doi.org/10.1063/1.5096645
dc.identifier.uri https://hdl.handle.net/123456789/10591
dc.language.iso en en_US
dc.publisher Amer inst Physics en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.title New Variable-Order Fractional Chaotic Systems for Fast Image Encryption en_US
dc.title New variable-order fractional chaotic systems for fast image encryption tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Wu, Guo-Cheng/0000-0002-1946-6770
gdc.author.institutional Baleanu, Dumitru
gdc.author.scopusid 23390775700
gdc.author.scopusid 15843307100
gdc.author.scopusid 7005872966
gdc.author.scopusid 52464750000
gdc.author.wosid Baleanu, Dumitru/B-9936-2012
gdc.author.wosid Wu, Guo-Cheng/T-9088-2017
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Wu, Guo-Cheng; Zeng, De-Qiang] Neijiang Normal Univ, Coll Math & Informat Sci, Data Recovery Key Lab Sichuan Prov, Neijiang 641100, Peoples R China; [Deng, Zhen-Guo] Guangxi Univ, Sch Math & Informat Sci, Nanning 530004, Peoples R China; [Baleanu, Dumitru] Cankaya Univ, Dept Math, TR-06530 Ankara, Turkey; [Baleanu, Dumitru] Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China; [Baleanu, Dumitru] Inst Space Sci, POB MG-23, R-76900 Magurele, Romania en_US
gdc.description.issue 8 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.volume 29 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W2966090337
gdc.identifier.pmid 31472503
gdc.identifier.wos WOS:000489227100013
gdc.openalex.fwci 16.99483541
gdc.openalex.normalizedpercentile 0.99
gdc.openalex.toppercent TOP 1%
gdc.opencitations.count 203
gdc.plumx.crossrefcites 164
gdc.plumx.mendeley 24
gdc.plumx.pubmedcites 4
gdc.plumx.scopuscites 246
gdc.scopus.citedcount 246
gdc.wos.citedcount 236
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