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[To start our journey in this book, relevant backgrounds on game theory, Markov decision process (MDP), and stochastic game (SG) will be introduced first in this chapter to pave the way for our later exposition. In essence, many security issues can be treated as a game between the defender and the attacker who are intelligent entities that can smartly plan their actions in the security rivalries. For this reason, our discussion in this chapter begins with the presentation of some rudimentary concepts of the classic game theory—a fascinating theory that concerns the modeling and prediction of the behaviors of intelligent entities in strategical interactions. In addition to the interactions with the opponent, practical security problems often involve with different environmental, system, or network dynamics. As a fundamental tool for optimal planning in dynamic environments, the MDP is also reviewed in this chapter. Moreover, as a key framework for addressing various dynamic security games, the SG will be reviewed in this chapter as well.]
Published: Mar 1, 2018
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