Research Area:  Digital Forensics
The increasing adoption of digital technologies to manage and process information used in everyday life, results in an increase in the demand for digital data analysis for investigative purposes. In fact, the reconstruction of computer and telematic crimes, or, in general, of crimes committed with computer systems, require the adoption of Computer Forensics best practices in order to extract relevant evidences from electronic devices, guaranteeing the integrity of data and their admissibility during a trial. The process of extraction, conservation, analysis and documentation of a forensic investigation can be enhanced by a framework that support investigators during their work, correlating evidences collected by different forensic tools. So, in this work we propose a semantic methodology and a system architecture for evidences correlation aiming to provide enhanced retrieval and reasoning capabilities.
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Author(s) Name:  F.Amato, G.Cozzolino, V.Moscato, F.Moscato
Journal name:  Future Generation Computer Systems
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Publisher name:  ELSEVIER
DOI:  https://doi.org/10.1016/j.future.2019.02.040
Volume Information:  Volume 98, September 2019, Pages 297-307
Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S0167739X19301906