Bot detection based on social interactions in MMORPGs

Jehwan Oh, Zoheb Hassan Borbora, Dhruv Sharma, Jaideep Srivastava

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

8 Citations (Scopus)

Abstract

The objective of this work is to detect the use of automated programs, known as game bots, based on social interactions in MMORPGs. Online games, especially MMORPGs, have become extremely popular among internet users in the recent years. Not only the popularity but also security threats such as the use of game bots and identity theft have grown manifold. As bot players can obtain unjustified assets without corresponding efforts, the gaming community does not allow players to use game bots. However, the task of identifying game bots is not an easy one because of the velocity and variety of their evolution in mimicking human behavior. Existing methods for detecting game bots have a few drawbacks like reducing immersion of players, low detection accuracy rate, and collision with other security programs. We propose a novel method for detecting game bots based on the fact that humans and game bots tend to form their social network in contrasting ways. In this work we focus particularly on the in game mentoring network from amongst several social networks. We construct a couple of new features based on eigenvector centrality to capture this intuition and establish their importance for detecting game bots. The results show a significant increase in the classification accuracy of various classifiers with the introduction of these features.

Original languageEnglish
Title of host publicationProceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013
Pages536-543
Number of pages8
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013 - Washington, DC
Duration: 8 Sep 201314 Sep 2013

Other

Other2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013
CityWashington, DC
Period8/9/1314/9/13

Fingerprint

Eigenvalues and eigenfunctions
Classifiers
Internet

ASJC Scopus subject areas

  • Software

Cite this

Oh, J., Borbora, Z. H., Sharma, D., & Srivastava, J. (2013). Bot detection based on social interactions in MMORPGs. In Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013 (pp. 536-543). [6693378] https://doi.org/10.1109/SocialCom.2013.81

Bot detection based on social interactions in MMORPGs. / Oh, Jehwan; Borbora, Zoheb Hassan; Sharma, Dhruv; Srivastava, Jaideep.

Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. 2013. p. 536-543 6693378.

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

Oh, J, Borbora, ZH, Sharma, D & Srivastava, J 2013, Bot detection based on social interactions in MMORPGs. in Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013., 6693378, pp. 536-543, 2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013, Washington, DC, 8/9/13. https://doi.org/10.1109/SocialCom.2013.81
Oh J, Borbora ZH, Sharma D, Srivastava J. Bot detection based on social interactions in MMORPGs. In Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. 2013. p. 536-543. 6693378 https://doi.org/10.1109/SocialCom.2013.81
Oh, Jehwan ; Borbora, Zoheb Hassan ; Sharma, Dhruv ; Srivastava, Jaideep. / Bot detection based on social interactions in MMORPGs. Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013. 2013. pp. 536-543
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