Network Intrusion Detection Based on Genetic Algorithm
Wenli Wang
Abstract
Wenli Wang
Abstract
Intrusion detection technology is to improve the security of computer systems an effective way. In this paper, intrusion detection system to improve the detection rate and reduce the rate of False Alarm for the purpose of the network information for the data source, after a history of intrusion detection and analysis of the status quo and the current intrusion detection techniques. Most of the current intrusion detection system limitations, intrusion detection framework based on a genetic algorithm using the intrusion detection model, simulation results show that the detection algorithm can effectively carry out intrusion detection, intrusion detection so that the speed and accuracy Has improved significantly.
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Intrusion detection technology is to improve the security of computer systems an effective way. In this paper, intrusion detection system to improve the detection rate and reduce the rate of False Alarm for the purpose of the network information for the data source, after a history of intrusion detection and analysis of the status quo and the current intrusion detection techniques. Most of the current intrusion detection system limitations, intrusion detection framework based on a genetic algorithm using the intrusion detection model, simulation results show that the detection algorithm can effectively carry out intrusion detection, intrusion detection so that the speed and accuracy Has improved significantly.
Key concepts: Intrusion detection system, Computer science, Constant false alarm rate, Anomaly-based intrusion detection system, Network security, Genetic algorithm, Intrusion, Data mining