Virtual property theft detection framework

Patterson, Nicholas, Hobbs, Michael and Abawajy, Jemal 2012, Virtual property theft detection framework, in TRUSTCOM 2012 : Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, IEEE Computer Society, Piscataway, N. J., pp. 177-184.

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Title Virtual property theft detection framework
Author(s) Patterson, Nicholas
Hobbs, Michael
Abawajy, Jemal
Conference name IEEE International Conference on Trust, Security and Privacy in Computing and Communications (11th : 2012 : Liverpool, England)
Conference location Liverpool, England
Conference dates 25-27 Jun. 2012
Title of proceedings TRUSTCOM 2012 : Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications
Editor(s) Min, Geyong
Wu, Yulei
Lei, Liu (Chris)
Jin, Xiaolong
Jarvis, Stephen
Al-Dubai, Ahmed Y.
Publication date 2012
Conference series IEEE International Conference on Trust, Security and Privacy in Computing and Communications
Start page 177
End page 184
Total pages 8
Publisher IEEE Computer Society
Place of publication Piscataway, N. J.
Keyword(s) virtual worlds
virtual property theft
real money trading
keylogging
vulnerability
software inspection
Summary  The issue of virtual property theft in virtual worlds is a serious problem which has ramifications in both the real and virtual world. Virtual world users invest a considerable amount of time, effort and often money to collect virtual property items, only to have them stolen by thieves. Many virtual property thefts go undetected, with thieves often stealing virtual property items without resistance, leaving victims to discover the theft only after it has occurred. This paper presents the design of a detection framework that uses an algorithm for identifying virtual property theft at two key stages: account intrusion and unauthorized virtual property trades. Initial tests of this framework on a synthetic data set show an 80% detection rate with no false positives. This framework can allow virtual world developers to tailor and extend it to suit their specific virtual world software and provide an effective way of detecting virtual property theft while being a low maintenance, user friendly and cost effective.
ISBN 9780769547459
Language eng
Field of Research 080303 Computer System Security
080201 Analysis of Algorithms and Complexity
160201 Causes and Prevention of Crime
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
HERDC collection year 2012
Copyright notice ©2012, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30045486

Document type: Conference Paper
Collection: School of Information Technology
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Created: Wed, 23 May 2012, 10:47:35 EST by Nicholas Charles Patterson

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