Titlebook: Decision and Game Theory for Security; 6th International Co MHR Khouzani,Emmanouil Panaousis,George Theodorako Conference proceedings 2015

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Md. Jawad Siddique,Khaled R. Ahmedbilities. Hence, to develop robust defense strategies, a promising approach is to utilize game theory to understand the fundamental trade-offs involved. Previous works in this direction, however, mainly focus on the single-node case without considering strict resource constraints. In this paper, a g

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Mingchen Gao,Ziyue Xu,Daniel J. Molluraty domains. However, static equilibrium models defined based on inputs from domain experts have weaknesses; they can be inaccurate, and they do not adapt over time as the situation (and adversary) evolves. In cases where there are frequent interactions with an attacker, using learning to adapt to an

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https://doi.org/10.1007/978-3-319-42999-1 players. In contrast to much of the existing work that considers risk neutral players in such games, we investigate the impacts of behavioral probability weighting by players while making security investment decisions. This weighting captures the transformation of objective probabilities into perce

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