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Detection of cheating in Multiplayer Online Games with knowledge representation and inference

J. Veldthuis, (2016) Detection of cheating in Multiplayer Online Games with knowledge representation and inference. Master's Thesis / Essay, Computing Science.

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Abstract

In many multiplayer online video games, players compete against each other to gain the highest score. This competitiveness drives some players to obtain an artificial advantage: using cheating tools to boost their skill However this is seen as unfair by honest players, and may discourage honest players from buying the game. Some examples of cheats are "aimbots", which allow the cheater to aim with perfect accuracy, and "extra-sensory perception", which allows the cheater to see their enemies through solid walls. This work introduces a cheating detection method based on the formal specification of a cheat called a "cheat signature". A complete tool chain is implemented for the detection of cheating in the video game Unreal Tournament, to create data sets from matches played in Unreal Tournament, and categorize players from those data sets into cheaters and honest players. By combining the results of multiple signatures a higher accuracy is achieved.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 08:25
Last Modified: 15 Feb 2018 08:25
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/14562

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