C-y: Chaotic yolo for user intended image encryption and sharing in social media

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dc.contributor.authorAsgari-Chenaghlu, Meysam
dc.contributor.authorFeizi-Derakhshi, Mohammad-Reza
dc.contributor.authorNikzad-Khasmakhi, Narjes
dc.contributor.authorFeizi-Derakhshi, Ali-Reza
dc.contributor.authorRamezani, Majid
dc.contributor.authorJahanbakhsh-Nagadeh, Zoleikha
dc.contributor.authorBalafar, Mohammad-Ali
dc.contributor.authorRahkar-Farshi, Taymaz
dc.date.accessioned2021-05-15T11:33:20Z
dc.date.available2021-05-15T11:33:20Z
dc.date.issued2021
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümüen_US
dc.descriptionRahkar-Farshi, Taymaz/0000-0003-4070-1058; Derakhshi, Mohammad Reza Feizi/0000-0002-8548-976X; Derakhshi, Ali Reza Feizi/0000-0003-3036-1651; Balafar, M.A/0000-0001-5898-0871; Nikzad, Narjes/0000-0003-3536-1343
dc.description.abstractSocial media is an inseparable part of our daily life where we post and share photos and media related to our life and in some cases we intend to share them between specific people. This intended and cherry picked sharing of media needs a better solution rather than simply picking users. Some social media platforms do not restrict other users from sharing timeline posts of others; meaning, one can simply forward a post from another person to a third one and no data preservation has been applied. In most cases we do not intend to secure the whole media and only important parts of it are intended to be secured. In this work we propose a novel method based on YoloV3 object detection and chaotic image encryption to overcome the issue of user intended data preservation in social media platforms. Our proposed method is capable of both automatic image encryption on full or user selected regions. Statistical and cryptographic analysis show superiority of our method compared to other state-of-the-art methods while it keeps the speed as high as possible for online and realtime use cases. (C) 2020 Elsevier Inc. All rights reserved.en_US
dc.description.sponsorshipUniversity of Tabriz [S/806]en_US
dc.description.sponsorshipThis project is supported by a research grant of the University of Tabriz (Number S/806).en_US
dc.identifier.doi10.1016/j.ins.2020.07.007
dc.identifier.endpage227en_US
dc.identifier.issn0020-0255
dc.identifier.issn1872-6291
dc.identifier.scopus2-s2.0-85088385948
dc.identifier.scopusqualityQ1
dc.identifier.startpage212en_US
dc.identifier.urihttps://doi.org/10.1016/j.ins.2020.07.007
dc.identifier.urihttps://hdl.handle.net/20.500.12939/133
dc.identifier.volume542en_US
dc.identifier.wosWOS:000574827600012
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorRahkar-Farshi, Taymaz
dc.language.isoen
dc.publisherElsevier Science Incen_US
dc.relation.ispartofInformation Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDeep Learningen_US
dc.subjectChaotic Mapsen_US
dc.subjectImage Encryptionen_US
dc.subjectData Preservationen_US
dc.subjectSocial Mediaen_US
dc.titleC-y: Chaotic yolo for user intended image encryption and sharing in social media
dc.typeArticle

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