Title :
Guilt by association? Network based propagation approaches for gold farmer detection
Author :
Ahmad, Mohd Ashraf ; Keegan, Brian ; Roy, Anirban ; Williams, Doug ; Srivastava, Jaideep ; Contractor, Noshir
Author_Institution :
Dept. of Comput. Sci., Univ. of Minnesota, Minneapolis, MN, USA
Abstract :
The term `Gold Farmer´ refers to a class of players in massive online games (MOGs) involved in a set of inter-related activities which are considered to be deviant activities. Consequently these gold farmers are actively banned by game administrators.The task of gold farmer detection is to identify gold farmers in a population of players but just like other clandestine actors they not labeled as such. In this paper the problem of extending the label of gold farmers to players which are not labeled as such is considered. Two main classes of techniques are described and evaluated: Network-based approaches and similarity based approaches. It is also explored how dividing the problem further by relabeling the data based on behavioral patterns can further improve the results.
Keywords :
computer games; fraud; security of data; MOG; behavioral patterns; clandestine actors; deviant activities; game administrators; gold farmer detection; interrelated activities; massive online games; network based propagation approaches; network-based approaches; similarity based approaches; Conferences; Educational institutions; Electronic mail; Employee welfare; Games; Gold; Social network services;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location :
Niagara Falls, ON
