Keeping bots out of online games
Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Cheating in networked computer games: a review
Proceedings of the 2nd international conference on Digital interactive media in entertainment and arts
Embedded noninteractive continuous bot detection
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Is a bot at the controls?: Detecting input data attacks
Proceedings of the 6th ACM SIGCOMM workshop on Network and system support for games
Neural Networks Applied to Speed Cheating Detection in Online Computer Games
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 04
Game Bot Detection Based on Avatar Trajectory
ICEC '08 Proceedings of the 7th International Conference on Entertainment Computing
Detection of MMORPG bots based on behavior analysis
ACE '08 Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
Server-Side Bot Detection in Massively Multiplayer Online Games
IEEE Security and Privacy
Battle of Botcraft: fighting bots in online games with human observational proofs
Proceedings of the 16th ACM conference on Computer and communications security
Survey and research direction on online game security
Proceedings of the Workshop at SIGGRAPH Asia
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Cheating is one of the biggest and constant problems in MMOGs. Games with high frequency of cheating will surely lose its appeal to genuine players who want to play the game. This is the reason why game provider these days put cheating prevention as one of the top priorities. Bot is just one way of cheating, but very efficient one. There are various methods to prevent cheating using bot. In this paper, we examine the potential of Artificial Neural Network (ANN) to detect and recognize bot from human players. We start with the assumption that one bot always acts in the similar pattern in gameplay. Meanwhile, it is much more rarer to see 2 players with similar gameplay pattern. The result of our experiment supports our initial hypothesis with the potential for future research in order to get better results.