Fuzzy System-based Suspicious Pattern Detection in Mobile Forensic Evidence



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 analises smartphone users’ activity and recognises potentially suspicious patterns according to predefined expert knowledge in actual use case scenarios by the use of fuzzy systems with different configurations.

Related Project

H2020 ATENA (Advanced Tools to assEss and mitigate the criticality of ICT compoNents and their dependencies over Critical InfrAstructures)


Digital Forensics and Cyber Crime. 9th EAI International Conference on Digital Forensics & Cyber Crime, ICDF2C 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, , October 2017

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Year 2018 : 1 citations

 Y. Hu, H. Lu, C. Guo, X. Liu, R. Wang and H. Chen, "Robust Stability for Nonlinear Fuzzy Network Control Systems with Time Varying Delay," 2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS), Enshi, 2018, pp. 1095-1100.
DOI: 10.1109/DDCLS.2018.8516077