Fuzzy system-based suspicious pattern detection in mobile forensic evidence

Abstract

Advances in Soft Computing have increased the probabilities of implementing mechanisms that are able to predict human behaviour. One of the fields that benefits more from the particular improvements are Digital Forensics. Criminal activity involving smartphones shows interesting behavioural variations that led the authors to create a technique that analyzes smartphone users’ activity and recognizes potentially suspicious patterns according to predefined expert knowledge in actual use case scenarios by the use of fuzzy systems with different configurations.