Title :
Inferring Rival´s Private Information in Game Circumstance
Author :
Zhou, Lihua ; Liu, Weiyi ; Xu, Yufeng
Author_Institution :
Sch. of Inf., Yunnan Univ., Kunming, China
Abstract :
It is important for having the initiative in competition to infer rival´s private information accurately. The rival´s decision-making model is described by influence diagrams with game relation, and the criterion that rival will take equilibrium strategy in game and hope to gain global maximum expected utility in multi-steps decision is followed. After transforming influence diagrams into Bayesian network, the rival´s private information can be inferred conversely once the rival´s decision-making behaviors are observed. The experiment results show that proposed method is effective.
Keywords :
belief networks; decision making; game theory; inference mechanisms; Bayesian network; decision-making model; equilibrium strategy; game circumstance; game relation; influence diagrams; multisteps decision; rival private information inference; Bayesian methods; Decision making; Game theory; Information analysis; Information security; Intrusion detection; Privacy; Probability distribution; Switches; Utility theory;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.728