2014
[2]
P. Andriotis, T. Tryfonas, G. Oikonomou, S. Li, Z. Tzermias, K. Xynos, H. Read, V. Prevelakis, "On the Development of Automated Forensic Analysis Methods for Mobile Devices", in Proc. 7th International Conference on Trust & Trustworthy Computing (TRUST 2014), ser. Lecture Notes in Computer Science, 8564, pp. 212-213, 2014
2013
[1]
P. Andriotis, Z. Tzermias, A. Mparmpaki, S. Ioannidis, G. Oikonomou, "Multilevel Visualization Using Enhanced Social Network Analysis with Smartphone Data", International Journal of Digital Crime and Forensics, IGI Global, 5(4), pp. 34-54, 2013
While technology matures and becomes more productive, mobile devices can be affordable and, consequently, fully integrated in people's lives. After their unexpected bloom and acceptance, Online Social Networks are now sources of valuable information. We therefore use them for tasks varying from direct marketing to forensic analysis. We have already seen Social Network Forensics techniques focused on particular networks implementing methods that collect data from user accounts. During the forensic analysis it is common to aggregate information from different sources but, usually, this procedure causes correlation problems. Here, we present our method to correlate data gathered from various social networks in combination with smartphones creating a new form of social map of the user under investigation. In addition, we introduce a multi level graph that utilises the correlated information from the smartphone and the social networks and demonstrates in three dimensions the relevance of each contact with the suspect.
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