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Presentation
Artificial neural network for bot detection system in MMOGs
9th annual workshop on network and systems support for games: Netgames 2010 (2010)
  • Kusno Prasetya, Bond University
  • Zheng da Wu, Bond University
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.
Keywords
  • cheating bot,
  • multiplayer online games,
  • artificial neural network
Disciplines
Publication Date
November 16, 2010
Comments

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.

Access the conference homepage.

2010 HERDC submission. FoR Code: 100503

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Citation Information
Kusno Prasetya and Zheng da Wu. "Artificial neural network for bot detection system in MMOGs" 9th annual workshop on network and systems support for games: Netgames 2010 (2010)
Available at: http://works.bepress.com/zheng_da_wu/25/