Game Theory and Decision Theory in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Computer security strength and risk: a quantitative approach
Computer security strength and risk: a quantitative approach
Cost sharing in a job scheduling problem using the Shapley value
Proceedings of the 6th ACM conference on Electronic commerce
SOS: an architecture for mitigating DDoS attacks
IEEE Journal on Selected Areas in Communications
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The proposed framework applies two game theoretic models for economic deployment of intrusion detection system (IDS). The first scheme models and analyzes the interaction behaviors of between an attacker and intrusion detection agent within a non-cooperative game, and then the security risk value is derived from the mixed strategy Nash equilibrium. The second scheme uses the security risk value to compute the Shapley value of intrusion detection agent under the various threat levels. Therefore, the fair agent allocation creates a minimum set of IDS deployment costs. Numerical examples show that the network administrator can quantitatively evaluate the security risk of each intrusion detection agent and easily select the most effective IDS agent deployment to meet the various threat levels.