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dc.contributor.authorEpiphaniou, Gregory
dc.contributor.authorFrench, Tim
dc.contributor.authorMaple, Carsten
dc.date.accessioned2020-11-17T09:54:21Z
dc.date.available2014-07-31T00:00:00Z
dc.date.available2020-11-17T09:54:21Z
dc.date.issued2014-12-31
dc.identifier.citationEpiphaniou G, French T, Maple C (2014) 'The dark web: cyber-security intelligence gathering opportunities, risks and rewards', Journal of Computing and Information Technology, 22, pp.21-30.en_US
dc.identifier.issn1330-1136
dc.identifier.doi10.2498/cit.1002282
dc.identifier.urihttp://hdl.handle.net/10547/624620
dc.description.abstractWe offer a partial articulation of the threats and opportunities posed by the so-called Dark Web (DW). We go on to propose a novel DW attack detection and prediction model. Signalling aspects are considered wherein the DW is seen to comprise a low cost signaling environment. This holds inherent dangers as well as rewards for investigators as well as those with criminal intent. Suspected DW perpetrators typically act entirely in their own self-interest (e.g. illicit financial gain, terrorism, propagation of extremist views, extreme forms of racism, pornography, and politics; so-called 'radicalisation'). DWinvestigators therefore need to be suitably risk aware such that the construction of a credible legally admissible, robust evidence trail does not expose investigators to undue operational or legal risk.en_US
dc.language.isoenen_US
dc.publisherUniversity of Zagreben_US
dc.relation.urlhttp://161.53.78.90/index.php/CIT/article/view/2282en_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectsignallingen_US
dc.subjectpredictive modelen_US
dc.subjectdark weben_US
dc.subjectSubject Categories::G400 Computer Scienceen_US
dc.titleThe dark web: cyber-security intelligence gathering opportunities, risks and rewardsen_US
dc.typeArticleen_US
dc.contributor.departmentUniversity of Bedfordshireen_US
dc.identifier.journalJournal of Computing and Information Technologyen_US
dc.date.updated2020-11-17T09:29:44Z
dc.description.noteopen access


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International