Mining for gold farmers

Automatic detection of deviant players in MMOGs

Muhammad Aurangzeb Ahmad, Brian Keegan, Jaideep Srivastava, Dmitri Williams, Noshir Contractor

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

38 Citations (Scopus)

Abstract

Gold farming refers to the illicit practice of gathering and selling virtual goods in online games for real money. Although around one million gold farmers engage in gold farming related activities [14], to date a systematic study of identifying gold farmers has not been done. In this paper we use data from the massively-multiplayer online role-playing game (MMORPG) EverQuest II to identify gold farmers. We perform an exploratory logistic regression analysis to identify salient descriptive statistics followed by a machine learning binary classification problem to identify a set of features for classification purposes. Given the cost associated with investigating gold farmers, we also give criteria for evaluating gold farming detection techniques, and provide suggestions for future testing and evaluation techniques

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
Pages340-345
Number of pages6
Volume4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE International Conference on Social Computing, SocialCom 2009 - Vancouver, BC
Duration: 29 Aug 200931 Aug 2009

Other

Other2009 IEEE International Conference on Social Computing, SocialCom 2009
CityVancouver, BC
Period29/8/0931/8/09

Fingerprint

Gold
Regression analysis
Learning systems
Logistics
Sales
Statistics
Testing
Costs

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

Cite this

Ahmad, M. A., Keegan, B., Srivastava, J., Williams, D., & Contractor, N. (2009). Mining for gold farmers: Automatic detection of deviant players in MMOGs. In Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 (Vol. 4, pp. 340-345). [5284055] https://doi.org/10.1109/CSE.2009.307

Mining for gold farmers : Automatic detection of deviant players in MMOGs. / Ahmad, Muhammad Aurangzeb; Keegan, Brian; Srivastava, Jaideep; Williams, Dmitri; Contractor, Noshir.

Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009. Vol. 4 2009. p. 340-345 5284055.

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

Ahmad, MA, Keegan, B, Srivastava, J, Williams, D & Contractor, N 2009, Mining for gold farmers: Automatic detection of deviant players in MMOGs. in Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009. vol. 4, 5284055, pp. 340-345, 2009 IEEE International Conference on Social Computing, SocialCom 2009, Vancouver, BC, 29/8/09. https://doi.org/10.1109/CSE.2009.307
Ahmad MA, Keegan B, Srivastava J, Williams D, Contractor N. Mining for gold farmers: Automatic detection of deviant players in MMOGs. In Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009. Vol. 4. 2009. p. 340-345. 5284055 https://doi.org/10.1109/CSE.2009.307
Ahmad, Muhammad Aurangzeb ; Keegan, Brian ; Srivastava, Jaideep ; Williams, Dmitri ; Contractor, Noshir. / Mining for gold farmers : Automatic detection of deviant players in MMOGs. Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009. Vol. 4 2009. pp. 340-345
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