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Threat prevention 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 prevent (or 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 protection actions for defenders (security resources).
|Title of host publication||International Conference on Autonomous Agents and Multi-agent Systems|
|Number of pages||2|
|Publication status||Published - 2014|
|Event||International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'14) - Paris, France|
Duration: 05 May 2014 → 09 May 2014
|Conference||International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'14)|
|Period||05/05/2014 → 09/05/2014|
- Game theory
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