The ones that got away

False negative estimation based approaches for gold farmer detection

Atanu Roy, Muhammad Aurangzeb Ahmad, Chandrima Sarkar, Brian Keegan, Jaideep Srivastava

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

5 Citations (Scopus)

Abstract

The problem of gold farmer detection is the problem of detecting players with illicit behaviors in massively multiplayer online games (MMOs) and has been studied extensively. Detecting gold farmers or other deviant actors in social systems is traditionally understood as a binary classification problem, but the issue of false negatives is significant for administrators as residual actors can serve as the backbone for subsequent clandestine organizing. In this paper we address this gap in the literature by addressing the problem of false negative estimation for gold farmers in MMOs by employing the capture-recapture technique for false negative estimation and combine it with graph clustering techniques to determine 'hidden' gold farmers in social networks of farmers and normal players. This paper redefines the problem of gold farming as a false negative estimation problem and estimates the gold farmers in co-extensive MMO networks, previously undetected by the game administrators. It also identifies these undetected gold farmers using graph partitioning techniques and applies network data to address rare class classification problem. The experiments in this research found 53% gold farmers who were previously undetected by the game administrators.

Original languageEnglish
Title of host publicationProceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012
Pages328-337
Number of pages10
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 ASE/IEEE International Conference on Social Computing, SocialCom 2012 and the 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2012 - Amsterdam
Duration: 3 Sep 20125 Sep 2012

Other

Other2012 ASE/IEEE International Conference on Social Computing, SocialCom 2012 and the 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2012
CityAmsterdam
Period3/9/125/9/12

Fingerprint

Gold
Experiments

Keywords

  • False Negative Estimation
  • Gold Farming
  • Graph Partitioning
  • MMO

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

Cite this

Roy, A., Ahmad, M. A., Sarkar, C., Keegan, B., & Srivastava, J. (2012). The ones that got away: False negative estimation based approaches for gold farmer detection. In Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012 (pp. 328-337). [6406262] https://doi.org/10.1109/SocialCom-PASSAT.2012.125

The ones that got away : False negative estimation based approaches for gold farmer detection. / Roy, Atanu; Ahmad, Muhammad Aurangzeb; Sarkar, Chandrima; Keegan, Brian; Srivastava, Jaideep.

Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012. 2012. p. 328-337 6406262.

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

Roy, A, Ahmad, MA, Sarkar, C, Keegan, B & Srivastava, J 2012, The ones that got away: False negative estimation based approaches for gold farmer detection. in Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012., 6406262, pp. 328-337, 2012 ASE/IEEE International Conference on Social Computing, SocialCom 2012 and the 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2012, Amsterdam, 3/9/12. https://doi.org/10.1109/SocialCom-PASSAT.2012.125
Roy A, Ahmad MA, Sarkar C, Keegan B, Srivastava J. The ones that got away: False negative estimation based approaches for gold farmer detection. In Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012. 2012. p. 328-337. 6406262 https://doi.org/10.1109/SocialCom-PASSAT.2012.125
Roy, Atanu ; Ahmad, Muhammad Aurangzeb ; Sarkar, Chandrima ; Keegan, Brian ; Srivastava, Jaideep. / The ones that got away : False negative estimation based approaches for gold farmer detection. Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012. 2012. pp. 328-337
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