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The thesis proposed an Agent-based Intrusion Detection Model of Mobile Ad Hoc Network that forms a cluster-head-centered backbone network by using a decision mode of joint detection used among cluster heads and vote by ballot in partial cluster heads to execute total network intrusion detection. The model has advantages of simple structure and short computing time; meanwhile, the model can save more network bandwidth and power consumption while ensuring higher detection rate. Simulation test results verify availability of this solution.
Date of Conference: 30-31 Jan. 2010