A Novel Approach to the Detection of Cheating in Multiplayer Online Games

Laurens, P.; Paige, Richard F.; Brooke, Phillip J.; Chivers, Howard

doi:10.1109/iceccs.2007.11

Cited by 36 publications

(14 citation statements)

References 9 publications

(9 reference statements)

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“…Similarly, predictions can be used to implement a map hack attack, i.e., displaying objects/avatars the player is not supposed to see (e.g., behind walls). Such aids can be detected using player behavior analysis tools [22]. Note that such cheats apply to normal dead reckoning as well.…”

Section: Discussionmentioning

confidence: 99%

Interest modeling in games: the case of dead reckoning

2012

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In games, the goals and interests of players are key factors in their behavior. However, techniques used by networked games to cope with infrequent updates and message loss, such as dead reckoning, estimate a player's movements based mainly on previous observations. The estimations are typically made by using dynamics of motion, taking only inertia and some external factors (e.g., gravity, wind) into account while completely ignoring the player's goals (e.g., chasing other players or collecting objects). This paper proposes AntReckoning: a dead reckoning algorithm, inspired from ant colonies, which models the players' interests to predict their movements. AntReckoning incorporates a player's interest in specific locations, objects, and avatars in the equations of motion in the form of attraction forces. In practice, these points of interest generate pheromones, which spread and fade in the game world, and are a source of attraction.To motivate and validate our approach we collected traces from Quake III. We conducted specific experiments that demonstrate the effect of game-related goals, map features, objects, and other players on the mobility of avatars. Our simulations using traces from Quake III

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Section: Discussionmentioning

confidence: 99%

Interest modeling in games: the case of dead reckoning

2012

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“…The two frameworks are both based on the assumption that each player can be assigned a rank which determines the probability of the outcomes of their games, and determines cheating by observing the difference from resulting ranks and expected ranks. Another novel cheat detection design was proposed by Laurens et al [17], which we have discussed in previous sections. The design statistically analyses server-side observable behaviour for indications of cheating.…”

Section: Related Workmentioning

confidence: 99%

“…However, games can remain vulnerable to particular cheats in this defense process. This work is inspired by Laurens et al [17], a proof-of-concept solution that calculates game behaviours for indications of cheating. This work attempts to formalise the description of game behaviours using Event-B and provides a behaviour analysis method for detecting cheating.…”

Section: Introductionmentioning

confidence: 99%

“…Game developers face an up-hill battle with cheat developers [17]. Many commercial solutions (e.g., DMW [13], GameGuard [14], VAC [21], etc.)…”

Section: Introductionmentioning

confidence: 99%

“…They have gained considerable popularity in the entertainment world [5,10,19]. Cheating is a major concern for many game developers as it reduces the fairness of games, damages the expected game experience and thus decreases revenue [7,10,17]. "Cheating" refers to any game behaviour that players use to achieve an unfair advantage and/or a target that they are not supposed to [15].…”

Section: Introductionmentioning

confidence: 99%

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Behaviour-Based Cheat Detection in Multiplayer Games with Event-B

Tian

Brooke

Bosser

2012

Lecture Notes in Computer Science

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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.

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Bibliography

2017

Algorithms and Networking for Computer Games

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A Novel Approach to the Detection of Cheating in Multiplayer Online Games

Cited by 36 publications

References 9 publications

Interest modeling in games: the case of dead reckoning

Interest modeling in games: the case of dead reckoning

Behaviour-Based Cheat Detection in Multiplayer Games with Event-B

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