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Analyzing TikTok from a Digital Forensics Perspective

2021-09-30Journal article Open access
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dc.contributor.authorDomingues, Patricio
dc.contributor.authorNogueira, Ruben
dc.contributor.authorFrancisco, José Carlos
dc.contributor.authorFrade, Miguel
dc.date.accessioned2021-10-13T09:46:24Z
dc.date.available2021-10-13T09:46:24Z
dc.date.issued2021-09-30
dc.description.abstractTikTok is a major hit in the digital mobile world, quickly reaching the top 10 installed applications for the two main mobile OS, iOS and Android. This paper studies Android's TikTok application from a digital forensic perspective, analyzing the digital forensic artifacts that can be retrieved on a post mortem analysis and their associations with operations performed by the user. The paper also presents FAMA (Forensic Analysis for Mobile Apps), an extensible framework for the forensic software Autopsy, and FAMA's TikTok module that collects, analyzes, and reports on the main digital forensic artifacts of TikTok's Android application. The most relevant digital artifacts of TikTok include messages exchanged between TikTok so-called ``friends'', parts of the email/phone number of registered users, data about devices, and transactions with TikTok's virtual currency. One of the results of this research is the set of forensic traces left by users' transactions with TikTok's in-app virtual currency. Another result is the detection of patterns that exist in TikTok's integer IDs, allowing to quickly link any 64-bit TikTok's integer ID to the type of resources -- user, device, video, etc. -- that it represents.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPatricio Domingues, Ruben Nogueira, José Carlos Francisco, and Miguel Frade, Analyzing TikTok from a Digital Forensics Perspective, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), 12(3):87-115, Sept. 2021pt_PT
dc.identifier.doi10.22667/JOWUA.2021.09.30.087pt_PT
dc.identifier.issn2093-5382
dc.identifier.issn2093-5374
dc.identifier.urihttp://hdl.handle.net/10400.8/6263
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationUIDB/CEC/4524/2020pt_PT
dc.relationUIDB/EEA/50008/2020pt_PT
dc.relation.publisherversionhttps://dx.doi.org/10.22667/JOWUA.2021.09.30.087pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectTikTokpt_PT
dc.subjectAndroidpt_PT
dc.subjectDigital Forensicspt_PT
dc.subjectIn-app Virtual Currencypt_PT
dc.titleAnalyzing TikTok from a Digital Forensics Perspectivept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage115pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage87pt_PT
oaire.citation.titleJournal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA)pt_PT
oaire.citation.volume12pt_PT
person.familyNameDomingues
person.familyNameFrade
person.givenNamePatrício
person.givenNameMiguel
person.identifier1234758
person.identifier.ciencia-idAA15-6185-C477
person.identifier.ciencia-idA512-9B28-1CEC
person.identifier.orcid0000-0002-6207-6292
person.identifier.orcid0000-0002-4405-7696
person.identifier.scopus-author-id13411315400
person.identifier.scopus-author-id24468034000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationb88ada5f-0d8b-4e55-ab0a-62aa82ea1388
relation.isAuthorOfPublication95a3fa7a-d37e-45e9-9acb-44c083582fea
relation.isAuthorOfPublication.latestForDiscoveryb88ada5f-0d8b-4e55-ab0a-62aa82ea1388

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