Show simple item record

dc.contributor.authorVidalis, Stilianos
dc.contributor.authorAngelopoulou, Olga
dc.contributor.authorJones, Andrew
dc.date.accessioned2017-06-30T13:33:48Z
dc.date.available2017-06-30T13:33:48Z
dc.date.issued2016-07-07
dc.identifier.citationVidalis , 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.citationconference
dc.identifier.otherPURE: 10551295
dc.identifier.otherPURE UUID: aa5dc3d2-a739-40e1-96ad-99bb73a4036a
dc.identifier.otherScopus: 84979248374
dc.identifier.urihttp://hdl.handle.net/2299/18716
dc.descriptionStilianos 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.abstractForensic 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.language.isoeng
dc.rights/dk/atira/pure/core/openaccesspermission/open
dc.subjectintelligence-led policing, evidence fusion and dissemination, forensic intelligence, ID theft
dc.titleExtracting Intelligence from Digital Forensic Artefactsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
dc.description.versiontypeFinal Accepted Version
rioxxterms.versionAM
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeopenAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record