Behaviour-Based cheat detection in multiplayer games with event-b

  • Authors:
  • HaiYun Tian;Phillip J. Brooke;Anne-Gwenn Bosser

  • Affiliations:
  • School of Computing, Teesside University, Middlesbrough, UK;School of Computing, Teesside University, Middlesbrough, UK;School of Computing, Teesside University, Middlesbrough, UK

  • Venue:
  • IFM'12 Proceedings of the 9th international conference on Integrated Formal Methods
  • Year:
  • 2012

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Abstract

Cheating is a key issue in multiplayer games as it causes unfairness which reduces legitimate users' satisfaction and is thus detrimental to game revenue. Many commercial solutions prevent cheats by reacting to specific implementations of cheats. As a result, they respond more slowly to fast-changing cheat techniques. This work proposes a framework using Event-B to describe and detect cheats from server-visible game behaviours. We argue that this cheat detection is more resistant to changing cheat techniques.