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Akinbi, A and Ojie, E (2021) Forensic analysis of open-source XMPP multi-client social networking apps on iOS devices. Forensic Science International: Digital Investigation, 36. ISSN 2666-2817
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Alex _Akinbi_FSIDI_2020_102_R1.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (1MB) | Preview |
Abstract
In this paper, we present forensic analysis of Monal and Siskin IM, two decentralized open-source XMPP multi-client social networking apps on iOS devices that provide anonymity and privacy using OMEMO end-to-end encryption. We identified databases maintained by each app and storage locations within the iOS file system that stores the local copies of user information and metadata. We analyzed the databases and storage locations for evidential data of forensic value. The results in this paper show a detailed analysis and correlation of data stored in each app's database to identify the local user's multiple IM accounts and contact list, contents of messages exchanged with contacts, and chronology of conversations. The focus and main contributions of this study include a detailed description of artifacts of forensic interest that can be used to aid mobile forensic investigations.
| Item Type: | Article |
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| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science & Mathematics |
| Publisher: | Elsevier BV |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 09 Feb 2023 10:17 |
| Last Modified: | 09 Feb 2023 10:30 |
| DOI or ID number: | 10.1016/j.fsidi.2021.301122 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/18828 |
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