Publication

Abstract : Intrusion Detection is one of the security tools in Network Security. Anomaly Intrusion Detection is a method of Intrusion Detection to find novel attacks by using decision rules. These decision rules need to be globally fit solution to find new attacks. Genetic Algorithm is a evolutionary search algorithm, which gives the globally fit solutions in the state space search. Genetic Algorithm process success depends on its fitness function. In this paper, a suitable fitness function is proposed to find global fit rules, for Traffic anomaly intrusion detection. For a better Intrusion Detection performance the discussion of proposed fitness function results with test data and comparison with existing fitness function are done and tabulated