Date of this Version

11-16-2010

Document Type

Conference Paper

Publication Details

Published Version.

Prasetya, K., & da Wu, Z. (2010). Artificial neural network for bot detection system in MMOGs. Paper presented at NetGames 2010, The 9th annual workshop on network and systems support for games (in conjunction with ACE 2010), Taipei, Taiwan.

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2010 HERDC submission. FoR Code: 100503

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Abstract

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 a 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 platers 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.

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This document has been peer reviewed.