Chapel, Laetitia and Botvich, Dmitri and Malone, David (2010) Probabilistic Approaches to Cheating Detection in Online Games. Computational Intelligence and Games (CIG), 2010 IEEE Symposium on . ISBN 978-1-4244-6295-7 . pp. 195-201.

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Abstract

Cheating is a key issue in online games, as it reduces the satisfaction of honest players with a game and can result in reduced revenue for game providers. Cheat prevention techniques used today typically aim to identify that a particular known technique for cheating is in use, and then prevent that. In this paper we present two techniques for identifying cheating based purely on the results of games. These techniques are based on the law of large numbers and the Bradley-Terry model, and aim to identify statistical behaviour that suggests a player is cheating. Preliminary simulation studies suggest that such techniques are a promising way to identify cheaters.

Item Type:	Article
Additional Information:	The authors wish to acknowledge funding support from the Irish HEA PRTLI Cycle 4 FutureComm (http:// futurecomm.tssg.org) programme.
Keywords:	Probabilistic Approaches; Cheating Detection; Online Games;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	2213
Identification Number:	https://doi.org/10.1109/ITW.2010.5593353
Depositing User:	Dr. David Malone
Date Deposited:	26 Oct 2010 15:51
Journal or Publication Title:	Computational Intelligence and Games (CIG), 2010 IEEE Symposium on . ISBN 978-1-4244-6295-7
Publisher:	IEEE
Refereed:	Yes
Funders:	Irish HEA PRTLI Cycle 4 FutureComm (http:// futurecomm.tssg.org) programme.
URI:	http://ieeexplore.ieee.org/Xplore/dynhom...
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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