Title :
Bot Detection Based on Social Interactions in MMORPGs
Author :
Jehwan Oh ; Borbora, Zoheb H. ; Sharma, Divya ; Srivastava, Jaideep
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
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.
Keywords :
Internet; computer games; security of data; social networking (online); Internet users; MMORPG; automated programs; classification accuracy; detection accuracy rate; eigenvector centrality; game bot identification; game mentoring network; gaming community; grown manifold; human behavior mimicking; identity theft; online game bot detection; security programs; security threats; social interactions; social network; Accuracy; Computers; Educational institutions; Employee welfare; Games; Security; Social network services; Bot Detection; Classification; MMORPGs; User Behaviour Analysis;
Conference_Titel :
Social Computing (SocialCom), 2013 International Conference on
Conference_Location :
Alexandria, VA
DOI :
10.1109/SocialCom.2013.81