This paper proposes the application of ASP-based sequential pattern mining techniques in the analysis of evidence collected according to the practice of digital forensics. In particular, it reports preliminary results concerning the analysis of anonymised mobile phone recordings, which highlight the sequences of events in a given time span.

Declarative Pattern Mining in Digital Forensics: Preliminary Results

Francesca Alessandra Lisi
;
2022-01-01

Abstract

This paper proposes the application of ASP-based sequential pattern mining techniques in the analysis of evidence collected according to the practice of digital forensics. In particular, it reports preliminary results concerning the analysis of anonymised mobile phone recordings, which highlight the sequences of events in a given time span.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/413235
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