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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing
The Case for a Consistent Cyberscam Classification Framework (CCCF)
Brisbane, Australia
July 07-July 09
ISBN: 978-0-7695-3737-5
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.
Index Terms:
Scam, Cyberscam, Classification, Framework, Technolog-enabled crime
Citation:
Amber Stabek, Simon Brown, Paul Watters, "The Case for a Consistent Cyberscam Classification Framework (CCCF)," uic-atc, pp.525-530, Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, 2009
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