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
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;
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
DOI :
10.1109/UIC-ATC.2009.77