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
Link To Document