Network Intrusion Detection Using PSO Based on Adaptive Mutation and Genetic Algorithm
نویسندگان
چکیده
The Particle Swarm Optimization is very efficient in intrusion detection in the networks. However, many intrusion detection systems either fail to detect or falsely detect the intrusions. This paper proposes a technique for intrusion detection using Particle Swarm Optimization with Genetic Algorithm based feature selection and using Adaptive Mutation for slow convergence of optimization algorithm. The results thus obtained are approximately 92% that proves the proposed approach to be quite effective in intrusion detection.
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