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The dark web: cyber-security intelligence gathering opportunities, risks and rewards

  • Gregory Epiphaniou
  • , Tim French
  • , Carsten Maple

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
2 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)21-30
Number of pages10
JournalJournal of Computing and Information Technology
Volume22
Issue numberSpecialIssue
DOIs
Publication statusPublished - 31 Dec 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • Dark web
  • Predictive model
  • Signalling

ASJC Scopus subject areas

  • General Computer Science

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