• DocumentCode
    3592023
  • Title

    Illicit network structures in cyberspace

  • Author

    Kalm, Kaarel

  • Author_Institution
    Dept. of Security & Crime Sci., Univ. Coll. London, London, UK
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    13
  • Abstract
    Different types of covert illicit networks in cyberspace hold the potential to become actors in cyber conflicts. Current literature on structures of covert networks in cyberspace is often constrained by the lack of quantitative data and researchers mostly focus on networks operating outside the cyberspace. The purpose of this paper is to review the current state of research into illicit networks in cyberspace and to apply the terminology and concepts of Social Network Analysis on criminal organisations operating online. Social Network Analysis is a quantitative data analysis method, which can identify hierarchies, subgroups, individuals and their relative importance in covert illicit networks, by using data from multiple sources (academic research, law enforcement, black market trading, semantic web analysis etc.). Here I explore how Social Network Analysis offers methods to discover hidden structures of covert networks in cyberspace.
  • Keywords
    computer crime; data analysis; social networking (online); academic research; covert illicit network structures; criminal organisations; cyber conflicts; cyberspace; hidden structure discovery; quantitative data analysis method; social network analysis; Computer crime; Context; Cyberspace; Law enforcement; Social network services; Terrorism; covert networks; cybercrime; illicit networks; social network analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Conflict (CyCon), 2013 5th International Conference on
  • ISSN
    2325-5366
  • Print_ISBN
    978-1-4799-0450-1
  • Type

    conf

  • Filename
    6568379