A Game-Theoretic Approach for Threats Detection and Intervention in Surveillance

Wenjun Ma, Weiru Liu, Paul Miller, Xudong Luo

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)
38 Downloads (Pure)


Threat intervention with limited security resources is a challenging problem. An optimal strategy is to effectively 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).
Original languageEnglish
Title of host publicationAAMAS'14: 13th International Conference on Autonomous Agents and Multiagent Systems, Paris, France, 05-09 May 2014
PublisherIFAAMAS Press
Number of pages2
ISBN (Print)9781450327381
Publication statusPublished - 5 May 2014


  • Security, Game theory

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