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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

Puni tekst: engleski, PDF (230 KB) str. 21-30 preuzimanja: 980* citiraj
APA 6th Edition
Epiphaniou, G., French, T. i Maple, C. (2014). The Dark Web: Cyber-Security Intelligence Gathering Opportunities, Risks and Rewards. Journal of computing and information technology, 22 (LISS 2013), 21-30. https://doi.org/10.2498/cit.1002282
MLA 8th Edition
Epiphaniou, Gregory, et al. "The Dark Web: Cyber-Security Intelligence Gathering Opportunities, Risks and Rewards." Journal of computing and information technology, vol. 22, br. LISS 2013, 2014, str. 21-30. https://doi.org/10.2498/cit.1002282. Citirano 21.07.2019.
Chicago 17th Edition
Epiphaniou, Gregory, Tim French i Carsten Maple. "The Dark Web: Cyber-Security Intelligence Gathering Opportunities, Risks and Rewards." Journal of computing and information technology 22, br. LISS 2013 (2014): 21-30. https://doi.org/10.2498/cit.1002282
Harvard
Epiphaniou, G., French, T., i Maple, C. (2014). 'The Dark Web: Cyber-Security Intelligence Gathering Opportunities, Risks and Rewards', Journal of computing and information technology, 22(LISS 2013), str. 21-30. https://doi.org/10.2498/cit.1002282
Vancouver
Epiphaniou G, French T, Maple C. The Dark Web: Cyber-Security Intelligence Gathering Opportunities, Risks and Rewards. Journal of computing and information technology [Internet]. 2014 [pristupljeno 21.07.2019.];22(LISS 2013):21-30. https://doi.org/10.2498/cit.1002282
IEEE
G. Epiphaniou, T. French i C. Maple, "The Dark Web: Cyber-Security Intelligence Gathering Opportunities, Risks and Rewards", Journal of computing and information technology, vol.22, br. LISS 2013, str. 21-30, 2014. [Online]. https://doi.org/10.2498/cit.1002282

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
https://hrcak.srce.hr/129370

Posjeta: 1.344 *