• DocumentCode
    2439999
  • Title

    Automatic Detection of Compromised Accounts in MMORPGs

  • Author

    Jehwan Oh ; Borbora, Zoheb H. ; Srivastava, Jaideep

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    222
  • Lastpage
    227
  • Abstract
    Account compromise can occur frequently in popular Massively Multiplayer Online Role-playing Games(MMORPGs) to gain easy profits and in extreme scenarios, it can lead to gold farming in the real world. Despite security concerns over compromised accounts in MMORPGs, few attempts have been made towards deeper exploration of the problem. Previous research has studied only the classification of cheating in online games. This paper describes a p-value based change point detection model for detecting compromised accounts in online games based on user behavior analysis. We evaluated the proposed model on real gaming datasets with ground truth. Experiment results demonstrate that our model is able to discover important features to detect compromised account.
  • Keywords
    computer games; security of data; MMORPG; automatic compromised accounts detection; cheating classification; gold farming; massively multiplayer online role-playing games; security concerns; user behavior analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Social Informatics (SocialInformatics), 2012 International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4799-0234-7
  • Type

    conf

  • DOI
    10.1109/SocialInformatics.2012.69
  • Filename
    6542444