Dynamic Bayesian Approach for Detecting Cheats in Multi-Player ...

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18 S.F. Yeung, John C.S. Lui
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Inferred probability of cheating
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(a) honest player hc1
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(e) honest player ha1
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(g) honest player hb1
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(b) cheater cc1
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Inferred probability of cheating
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(d) cheater ca1
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Inferred probability of cheating
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(f) cheater ca1
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(h) cheater cb1
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Fig. 8 Result of Experiment 3. Use different combinations of data set for training and inference. Learn session B and infer session C: cheater
(a) and honest player (b). Learn session B and infer session A: cheater (c) and honest player (d). Learn session C and infer session A: cheater (e)
and honest player (f). Learn session C and infer session B: cheater (g) and honest player (h).
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