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Post-mortem digital forensic artifacts of TikTok Android App

dc.contributor.authorDomingues, Patrício
dc.contributor.authorNogueira, Ruben
dc.contributor.authorFrancisco, José Carlos
dc.contributor.authorFrade, Miguel
dc.date.accessioned2021-08-10T12:51:12Z
dc.date.available2021-08-10T12:51:12Z
dc.date.issued2020
dc.description.abstractTikTok is a social network known mostly for the creation and shar ing of short videos and for its popularity for those under 30 years old. Although it has only appeared as Android and iOS apps in 2017, it has gathered a large user base, being one of the most downloaded and used app. In this paper, we study the digital forensic artifacts of TikTok’s app that can be recovered with a post mortem analysis of an Android phone, detailing the databases and XML with data that might be relevant for a digital forensic practitioner. We also provide the module tiktok.py to extract several forensic artifacts of TikTok in a digital forensic analysis of an Android phone. The module runs under Autopsy’s Android Analyzer environment. Although TikTok offers a rich set of features, it is very internet-dependent, with a large amount of its inner data kept on the cloud, and thus not easily accessible in a post mortem analysis. Nonetheless, we were able to recover messages exchanged through the app commu nications channels, the list of TikTok users that have interacted with the TikTok account used at the smartphone, photos linked to the app and in some circumstances, TikTok’s videos watched by the smartphone’s user.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPatricio Domingues, Ruben Nogueira, José Carlos Francisco, and Miguel Frade. 2020. Post-mortem digital forensic artifacts of TikTok Android App. In Proceedings of the 15th International Conference on Availability, Reliability and Security (ARES '20). Association for Computing Machinery, New York, NY, USA, Article 42, 1–8. DOI: https://doi.org/10.1145/3407023.3409203pt_PT
dc.identifier.doi10.1145/3407023.3409203pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.8/6060
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationUIDB-04524-2020pt_PT
dc.relationUIDB/EEA/50008/2020pt_PT
dc.relation.publisherversionhttps://dl.acm.org/doi/10.1145/3407023.3409203pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectTikTokpt_PT
dc.subjectAndroid appspt_PT
dc.subjectDigital forensicspt_PT
dc.titlePost-mortem digital forensic artifacts of TikTok Android Apppt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInternational Conference on Availability, Reliability and Security (ARES '20)pt_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.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationb88ada5f-0d8b-4e55-ab0a-62aa82ea1388
relation.isAuthorOfPublication95a3fa7a-d37e-45e9-9acb-44c083582fea
relation.isAuthorOfPublication.latestForDiscoveryb88ada5f-0d8b-4e55-ab0a-62aa82ea1388

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