Automatic detection of compromised accounts in MMORPGs

Jehwan Oh; Zoheb Hassan Borbora; Jaideep Srivastava

doi:10.1109/SocialInformatics.2012.69

Automatic detection of compromised accounts in MMORPGs

Jehwan Oh, Zoheb Hassan Borbora, Jaideep Srivastava

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 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 language	English (US)
Title of host publication	Proceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012
Publisher	IEEE Computer Society
Pages	222-227
Number of pages	6
ISBN (Print)	9780769550152
DOIs	https://doi.org/10.1109/SocialInformatics.2012.69
State	Published - Jan 1 2012
Event	2012 ASE International Conference on Social Informatics, SocialInformatics 2012 - Washington, D.C., United States Duration: Dec 14 2012 → Dec 16 2012

Publication series

Name	Proceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012

Other

Other	2012 ASE International Conference on Social Informatics, SocialInformatics 2012
Country/Territory	United States
City	Washington, D.C.
Period	12/14/12 → 12/16/12

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10.1109/SocialInformatics.2012.69

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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

Automatic detection of compromised accounts in MMORPGs. / Oh, Jehwan; Borbora, Zoheb Hassan; Srivastava, Jaideep.

Proceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012. IEEE Computer Society, 2012. p. 222-227 6542444 (Proceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Oh, J, Borbora, ZH & Srivastava, J 2012, Automatic detection of compromised accounts in MMORPGs. in Proceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012., 6542444, Proceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012, IEEE Computer Society, pp. 222-227, 2012 ASE International Conference on Social Informatics, SocialInformatics 2012, Washington, D.C., United States, 12/14/12. https://doi.org/10.1109/SocialInformatics.2012.69

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

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AB - 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.

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Automatic detection of compromised accounts in MMORPGs

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