On the development of automated forensic analysis methods for mobile devices

Andriotis, Panagiotis; Tryfonas, Theo; Oikonomou, George; Li, Shancang; Tzermias, Zacharias; Xynos, Konstantinos; Read, Huw; Prevelakis, Vassilis

Abstract

We live in a connected world where mobile devices are used by humans as valuable tools. The use of mobile devices leaves traces that can be treasured assets for a forensic analyst. Our aim is to investigate methods and exercise techniques that will merge all these valuable information in a way that will be efficient for a forensic analyst, producing graphical representations of the underlying data structures. We are using a framework able to collect and merge data from various sources and employ algorithms from a wide range of interdisciplinary areas to automate post-incident forensic analysis on mobile devices. © 2014 Springer International Publishing.

• Presentation Conference Type: Conference Paper (published)
• Acceptance Date: Jun 30, 2014
• Publication Date: Jan 1, 2014
• Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Print ISSN: 0302-9743
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 8564 LNCS
• Pages: 212-213
• Book Title: Trust and Trustworthy Computing
• DOI: https://doi.org/10.1007/978-3-319-08593-7_17
• Keywords: steganalysis, smartphone, sentiment analysis, post-incident, SMS, social media, forensics, Android
• Public URL: https://uwe-repository.worktribe.com/output/822847
• Publisher URL: http://dx.doi.org/10.1007/978-3-319-08593-7_17
• Additional Information: Title of Conference or Conference Proceedings : 7th International Conference, TRUST 2014