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- W2340553469 abstract "Threat intervention with limited security resources is a challenging problem. An optimal strategy is to eectively predict attackers’ targets (or goals) based on current available information, and use such predictions to disrupt their planned attacks. In this paper, we propose a game-theoretic framework to address this challenge which encompasses the following three elements. First, we design a method to analyze an attacker’s types in order to determine the most plausible type of an attacker. Second, we propose an approach to predict possible targets of an attack and the course of actions that the attackers may take even when the attackers’ types are ambiguous. Third, a game-theoretic based strategy is developed to determine the best intervention approaches taken by defenders (security resources)." @default.
- W2340553469 created "2016-06-24" @default.
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- W2340553469 date "2014-01-01" @default.
- W2340553469 modified "2023-09-23" @default.
- W2340553469 title "A Game-Theoretic Approach for Threats Detection and Intervention in Surveillance (Extended Abstract)" @default.
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- W2340553469 hasPublicationYear "2014" @default.
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