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Multi-objective Mobile Network Anomaly Intrusion


Kenneth S. Edge, Gary B. Lamont, Richard A. Raines


Vol. 6  No. 3  pp. 187-192


Mobile ad hoc networks have inherent vulnerabilities based on their very nature. Sarafijanovic and Boudec propose using an artificial immune system (AIS) approach to providing robust and reliable misbehavior detection. This paper builds upon that concept by framing the problem as a multi-objective problem attempting to balance efficiency and effectiveness of the detection. After mapping the algorithm to a symbolic representation and discussing the design of the multi-objective AIS, the testing results are discussed and a Pareto front depicting the results is depicted. A critique of selected current literature in the area of mobile network security is also included.


Intrusion Detection, Mobile Networks, Multi-objective, Artificial Immune System.