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Study on Genetic Algorithm Optimization for Support Vector Machine in Network Intrusion Detection
Advances in Information Sciences and Service Sciences
This paper studies on methods taken in solving the existing network disorders in network intrusion detection. Traditional parameter-optimized Support Vector Machine (SVM) may easily generate improper parameter-selections, and may further lead to a low accuracy in network intrusion detection. In order to overcome such problems, so well as to ensure the network security, this paper tries to put forward with a Genetic Algorithm optimized Support Vector Machine in network intrusion detection. Fordoi:10.4156/aiss.vol4.issue2.35 fatcat:lodmeuathbdn5lwpdsjqpepk5m