Research Article
Fuzzy System-Based Suspicious Pattern Detection in Mobile Forensic Evidence
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@INPROCEEDINGS{10.1007/978-3-319-73697-6_8, author={Konstantia Barmpatsalou and Tiago Cruz and Edmundo Monteiro and Paulo Simoes}, title={Fuzzy System-Based Suspicious Pattern Detection in Mobile Forensic Evidence}, proceedings={Digital Forensics and Cyber Crime. 9th International Conference, ICDF2C 2017, Prague, Czech Republic, October 9-11, 2017, Proceedings}, proceedings_a={ICDF2C}, year={2018}, month={1}, keywords={Mobile forensics Fuzzy systems Membership functions}, doi={10.1007/978-3-319-73697-6_8} }- Konstantia Barmpatsalou
Tiago Cruz
Edmundo Monteiro
Paulo Simoes
Year: 2018
Fuzzy System-Based Suspicious Pattern Detection in Mobile Forensic Evidence
ICDF2C
Springer
DOI: 10.1007/978-3-319-73697-6_8
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.
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