dc.contributor.author | Vidalis, Stilianos | |
dc.contributor.author | Angelopoulou, Olga | |
dc.contributor.author | Jones, Andrew | |
dc.date.accessioned | 2017-06-30T13:33:48Z | |
dc.date.available | 2017-06-30T13:33:48Z | |
dc.date.issued | 2016-07-07 | |
dc.identifier.citation | Vidalis , S , Angelopoulou , O & Jones , A 2016 , ' Extracting Intelligence from Digital Forensic Artefacts ' , Paper presented at 15th European Conference on Cyber Warfare and Security , Munich , Germany , 7/07/16 - 8/07/16 . | |
dc.identifier.citation | conference | |
dc.identifier.uri | http://hdl.handle.net/2299/18716 | |
dc.description | Stilianos Vidalis, Olga Angelopoulou, Andrew Jones, ‘Extracting Intelligence from Digital Forensic Artefacts’, paper presented at the 15th European Conference on Cyber Warfare and Security, Munich, Germany, 7-8 July, 2016. | |
dc.description.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’s 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. | en |
dc.format.extent | 305773 | |
dc.language.iso | eng | |
dc.subject | intelligence-led policing, evidence fusion and dissemination, forensic intelligence, ID theft | |
dc.title | Extracting Intelligence from Digital Forensic Artefacts | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.description.status | Peer reviewed | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |