Automatic detection of compromised accounts in MMORPGs

Jehwan Oh, Zoheb Hassan Borbora, Jaideep Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Account compromise can occur frequently in popular Massively Multiplayer Online Role-playing Games(MMORPGs) to gain easy profits and in extreme scenarios, it can lead to gold farming in the real world. Despite security concerns over compromised accounts in MMORPGs, few attempts have been made towards deeper exploration of the problem. Previous research has studied only the classification of cheating in online games. This paper describes a p-value based change point detection model for detecting compromised accounts in online games based on user behavior analysis. We evaluated the proposed model on real gaming datasets with ground truth. Experiment results demonstrate that our model is able to discover important features to detect compromised account.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012
PublisherIEEE Computer Society
Pages222-227
Number of pages6
ISBN (Print)9780769550152
DOIs
StatePublished - Jan 1 2012
Event2012 ASE International Conference on Social Informatics, SocialInformatics 2012 - Washington, D.C., United States
Duration: Dec 14 2012Dec 16 2012

Publication series

NameProceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012

Other

Other2012 ASE International Conference on Social Informatics, SocialInformatics 2012
CountryUnited States
CityWashington, D.C.
Period12/14/1212/16/12

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  • Cite this

    Oh, J., Borbora, Z. H., & Srivastava, J. (2012). Automatic detection of compromised accounts in MMORPGs. In Proceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012 (pp. 222-227). [6542444] (Proceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012). IEEE Computer Society. https://doi.org/10.1109/SocialInformatics.2012.69