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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


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Dr Panos Andriotis
Senior Lecturer in Computer Forensics and Security

Theo Tryfonas

George Oikonomou

Shancang Li

Zacharias Tzermias

Konstantinos Xynos

Huw Read

Vassilis Prevelakis


Thorsten Holz

Sotiris Ioannidis


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.


Andriotis, P., Tryfonas, T., Oikonomou, G., Li, S., Tzermias, Z., Xynos, K., …Prevelakis, V. (2014). On the development of automated forensic analysis methods for mobile devices. Lecture Notes in Artificial Intelligence, 8564 LNCS, 212-213.

Journal Article Type Article
Acceptance Date Jun 30, 2014
Publication Date Jan 1, 2014
Journal Lecture Notes in Computer Science
Print ISSN 0302-9743
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 8564
Pages 212-213
Book Title Trust and Trustworthy Computing
Keywords steganalysis, smartphone, sentiment analysis, post-incident, SMS, social media, forensics, Android
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Additional Information Title of Conference or Conference Proceedings : 7th International Conference, TRUST 2014