C-y: Chaotic yolo for user intended image encryption and sharing in social media
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Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Social 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.
Açıklama
Rahkar-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
Anahtar Kelimeler
Deep Learning, Chaotic Maps, Image Encryption, Data Preservation, Social Media
Kaynak
Information Sciences
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
542
