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.
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.
Field of Research
080303 Computer System Security 080201 Analysis of Algorithms and Complexity 160201 Causes and Prevention of Crime
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact email@example.com.