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Extracting intelligence from digital Forensic artefacts

By Stilianos Vidalis, Olga Angelopoulou and Andy Jones

Abstract

Forensic science and in particular digital forensics as a business process has predominantly been focusing on generating evidence for court proceedings. It is argued that in today\u27s socially-driven, knowledge-centric, virtual-computing era, this is not resource effective. In past cases it has been discovered retrospectively that the necessary information for a successful identification and extraction of evidence was previously available in a database or within previously analysed files. Such evidence could have been proactively used in order to solve a particular case, a number of linked cases or to better understand the criminal activity as a whole. This paper will present a conceptual architecture for a distributed system that will allow forensic analysts to forensically fuse and semantically analyse digital evidence for the extraction of intelligence that could lead to the accumulation of knowledge necessary for a successful prosecution

Topics: Evidence fusion and dissemination, Forensic intelligence, ID theft, Intelligence-led policing, Crime, Electronic crime countermeasures, Extraction, Conceptual architecture, Criminal activities, Distributed systems, Evidence fusion, Forensic intelligence, Id thefts, Intelligence-led policing, Virtual computing, Computer crime, Computer Law
Publisher: Edith Cowan University, Research Online, Perth, Western Australia
Year: 2016
OAI identifier: oai:ro.ecu.edu.au:ecuworkspost2013-3042
Provided by: Research Online @ ECU
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