Izvorni znanstveni članak
https://doi.org/10.2498/cit.1002282
The Dark Web: Cyber-Security Intelligence Gathering Opportunities, Risks and Rewards
Gregory Epiphaniou
; Cybersecurity Research Group (CyBSeG), IRAC, Department of Computer Science and Technology, University of Bedfordshire, Luton, United Kingdom
Tim French
; Cybersecurity Research Group (CyBSeG), IRAC, Department of Computer Science and Technology, University of Bedfordshire, Luton, United Kingdom
Carsten Maple
; Cybersecurity Research Group (CyBSeG), IRAC, Department of Computer Science and Technology, University of Bedfordshire, Luton, United Kingdom
Sažetak
We 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.
Ključne riječi
dark web; predictive model; signalling
Hrčak ID:
129370
URI
Datum izdavanja:
10.11.2014.
Posjeta: 2.734 *