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Darkweb Cyber Threat Intelligence Mining

This special issue belongs to the section “Information Systems“.

Special Issue Information

Dear Colleagues,

Malicious hacker communities leverage the deepweb and darkweb to buy, sell, and trade malware, exploits, and stolen data. Because of this, many security researchers have leveraged this data to understand the activities of such groups with respect to ongoing cyber attacks—with the goal to identify emerging threats, support forensic investigations, and even predict cyber-attacks. However, the many challenges in obtaining, analysing, and updating such data in an automated and stealthy fashion—and do so at scale. This special issue focuses on new techniques for how darkweb/deepweb hacker data can be automatically obtained and transformed into actionable cyber threat intelligence—thereby aiding network defenders in avoiding cyber attacks, finding breached information, and, generally, understanding hacker communities. Topics include, but are not limited to:

  1. Mining the deepweb and darkweb
  2. Big data technologies for managing deepweb/darkweb data
  3. Cleaning deepweb/darkweb data
  4. Extracting information from deepweb/darkweb data
  5. Social network analysis on deepweb/darkweb hacker communities
  6. Alignment of deepweb/darkweb data with other data sources
  7. Prediction of cyber attacks using deepweb/darkweb data
  8. Social science studies of malicious hacker communities on the deepweb/darkweb
  9. Predicting software exploitability using deepweb/darkweb
  10. Game theoretic methods to model attacker behaviour using darkweb/deepweb data

Prof. Paulo Shakarian
Guest Editor

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Keywords

  • Cyber security
  • Cyber threat intelligence
  • Darkweb
  • Deepweb

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Information - ISSN 2078-2489