Digital Forensics and Cyber Crime. 9th International Conference, ICDF2C 2017, Prague, Czech Republic, October 9-11, 2017, Proceedings

Research Article

Fuzzy System-Based Suspicious Pattern Detection in Mobile Forensic Evidence

  • @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
Konstantia Barmpatsalou1,*, Tiago Cruz1,*, Edmundo Monteiro1,*, Paulo Simoes1,*
  • 1: University of Coimbra
*Contact email: konstantia@dei.uc.pt, tjcruz@dei.uc.pt, edmundo@dei.uc.pt, psimoes@dei.uc.pt

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.