Network forensic analysis of Twitter application on Android OS

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dc.contributor.authorUmrani, Aliaen
dc.contributor.authorJaved, Yousraen
dc.contributor.authorIftikhar, Muhammaden
dc.date.accessioned2023-03-30T15:40:53Z
dc.date.available2023-03-30T15:40:53Z
dc.date.issued2023-02-17en
dc.description.abstractThe increased use of secure social media apps on smartphones has attracted the interest of criminals looking to engage in illegal activities. The additional user confidentiality requirements, as well as the security features of these applications, complicate forensic investigations. The extensive analysis of encrypted traffic sessions, on the other hand, has the potential of identifying involved parties and their activities. In this paper, we conduct a network traffic analysis of Twitter, a popular social media application that uses encryption to protect information transmitted over the network. We concentrate on the Android platform to generate Twitter traffic, analyze fixed patterns, and extract artifacts based on various user actions. A firewall is also used to investigate Twitter's hidden design flexibilities and alternate connectivity options. Through our analysis, we were able to correctly identify the flow of Twitter traffic, user-related information, and fixed patterns to classify different user activities on Twitter.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationUmrani, A., Javed, Y. and Iftikhar, M. (2023) 'Network forensic analysis of Twitter application on Android OS', 2022 International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2022, pp. 249-254. doi: 10.1109/FIT57066.2022.00053en
dc.identifier.doi10.1109/fit57066.2022.00053en
dc.identifier.endpage254en
dc.identifier.isbn979-8-3503-4593-3en
dc.identifier.isbn979-8-3503-4594-0en
dc.identifier.startpage249en
dc.identifier.urihttps://hdl.handle.net/10468/14339
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2022 International Conference on Frontiers of Information Technology (FIT)en
dc.rights© 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectAndroiden
dc.subjectEncryptionen
dc.subjectNetwork Forensicsen
dc.subjectTraffic analysisen
dc.subjectTwitteren
dc.titleNetwork forensic analysis of Twitter application on Android OSen
dc.typeConference itemen
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