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dc.contributor.authorKrishnan, Sundar
dc.contributor.authorLiu, Qingzhong
dc.contributor.authorNeyaz, Ashar
dc.contributor.authorKumar, Avinash
dc.contributor.authorPlacker, Jessica
dc.date.accessioned2021-12-15T19:36:16Z
dc.date.available2021-12-15T19:36:16Z
dc.date.issued2020
dc.identifier.citationNeyaz A, Kumar A, Krishnan S, Placker J and Liu Q (2020). Security, Privacy and Steganographic Analysis of FaceApp and TikTok. International Journal of Computer Science and Security (IJCSS) 14(2): 38-59.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11875/3246
dc.descriptionArticle originally published in International Journal of Computer Science and Security
dc.description.abstractSmartphone applications (Apps) can be addictive for users due to their uniqueness, ease-of-use, trendiness, and growing popularity. The addition of Artificial Intelligence (AI) into their functionality has rapidly gained popularity with smartphone users. Over the years, very few smartphone Apps have quickly gained immense popularity like FaceApp and TikTok. FaceApp boasts of using AI to transform photos of human faces using its powerful facial recognition capabilities. FaceApp has been the target of ensuing backlash against it driving the market for a number of other similar yet lesser-known clones into the top ranks of the App stores. TikTok offers video editing and sharing of short video clips whereby making them charming, funny, cringe-inducing, and addictive to the younger generation. FaceApp and TikTok have been the targets of the media, privacy watchdogs, and governments over worries of privacy, ethnicity filters, data misuse, anti-forensics, and security. In this paper, the authors forensically review FaceApp and TikTok Apps from the Android Play Store, for their data ownership, data management, privacy concerns, steganographic use, and overall security posture.en_US
dc.description.sponsorshipen_US
dc.publisherInternational Journal of Computer Science and Securityen_US
dc.relation.ispartofseriesVolume 14; Issue 2
dc.subjectmobile forensicsen_US
dc.subjectsmartphone forensicsen_US
dc.subjecttiktoken_US
dc.subjectfaceappen_US
dc.subjectstenographyen_US
dc.subjectprivacyen_US
dc.subjectsecurityen_US
dc.subjectcybersecurityen_US
dc.titleSecurity, Privacy and Steganographic Analysis of FaceApp and TikToen_US
dc.typeArticleen_US


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