The case for a consistent cyberscam classification framework (CCCF)

UIC-ATC 2009 - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC'09 and ATC'09 Conferences

Volumn , Issue , 2009, Pages 525-530

  Stabek, Amber ^a   Brown, Simon ^a   Watters, Paul A ^a  

^a UNIVERSITY OF BALLARAT   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AUSTRALIA; CLASSIFICATION FRAMEWORK; CLASSIFICATION SCHEME; CLASSIFICATION SYSTEM; ENVIRONICS RESEARCHES; STATISTICAL REPORTING;

FLUORINE CONTAINING POLYMERS; TECHNICAL PRESENTATIONS;

UBIQUITOUS COMPUTING;

EID: 72849116149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UIC-ATC.2009.77     Document Type: Conference Paper

References (11)

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7. Internet Fraud Complaint Center. (2002). 2001 Internet fraud report United States of America: The National White Collar Crime Center.
8. Model Criminal Law Officers' Committee of the Standing Committee of Attorneys - General. (2008). Final report identity crime. Barton, Australian Capital Territory, Commonwealth of Australia: Author.
9. Parliament of the Commonwealth of Australia. (2004). Cybercrime Senate Printing Unit, Parliament House, Canberra, Australian Capital Territory: Parliamentary Joint Committee on the Australian Crime Commission.
10. The Australasian Legal Information Institute www.austlii.edu.au accessed January 3, 2009.
11. Legislation Cybercrime Act 2001 (Cwlth). Retrieved December 10, 2008, from The Australian Legal Information Institute database austli