• DocumentCode
    2298252
  • Title

    The Case for a Consistent Cyberscam Classification Framework (CCCF)

  • Author

    Stabek, Amber ; Brown, Simon ; Watters, Paul A.

  • Author_Institution
    Internet Commerce Security Lab., Univ. of Ballarat, VIC, Australia
  • fYear
    2009
  • fDate
    7-9 July 2009
  • Firstpage
    525
  • Lastpage
    530
  • Abstract
    Cyberscam classification schemes developed by international statistical reporting bodies, including the Bureau of Statistics (Australia), the Internet Crime Complaint Center (US), and the Environics Research Group (Canada), are diverse and largely incompatible. This makes comparisons of cyberscam incidence across jurisdictions very difficult. This paper argues that the critical first step towards the development of an inter-jurisdictional and global approach to identify and intercept cyberscams - and prosecute scammers - is a uniform classification system.
  • Keywords
    business data processing; computer crime; Bureau of Statistics; Environics Research Group; Internet Crime Complaint Center; consistent cyberscam classification framework; international statistical reporting bodies; uniform classification system; Australia; Business; Computer crime; Computer security; Conferences; Internet; Law; Legal factors; Pervasive computing; Statistics; Classification; Cyberscam; Framework; Scam; Technolog-enabled crime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous, Autonomic and Trusted Computing, 2009. UIC-ATC '09. Symposia and Workshops on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4244-4902-6
  • Electronic_ISBN
    978-0-7695-3737-5
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2009.77
  • Filename
    5319182