Neural Networks Applied to Speed Cheating Detection in Online Computer Games

摘要: This work presents a new approach to deal with speed cheating in online computer games. With the great growth of games, some efforts have been made avoid cheaters this scenario, but models are localized into protocol level. Examining state-of-art, it was observed that research exploring Artificial Intelligence application goal becomes relevant. shows usage artificial neural networks (ANN) applied massive multiplayer games (MMOG) called Hoverkill kind cheat. Through results's comparison from two different architectures approaches, multi layer perceptron network (MLP) and focused time lagged (FTLFN), possible conclude their utilization avoiding MMOG is possible, once good results were found work.