现代电子技术2018，Vol.41Issue(3)：124-127,4.DOI:10.16652/j.issn.1004-373x.2018.03.029
基于机器学习算法的网络入侵检测
Network intrusion detection based on machine learning algorithm
摘要
Abstract
The frequent network intrusion endangers the network security seriously. In order to obtain the network intrusion detection results with high accuracy,a network intrusion detection model based on machine learning algorithm is proposed for the limitations of the current network intrusion detection model. The support vector machine of machine learning algorithm is used to construct the one-to-one network intrusion detection classifier. The standard network intrusion detection database is used to verify the effectiveness of the model with experiment. The network intrusion detection rate is higher than 95％,the detection error is far below the actual application range. The model can be applied to the practical network security management.关键词
网络安全/入侵行为/机器学习算法/入侵检测/分类器/检测误差Key words
network security/intrusion behavior/machine learning algorithm/intrusion detection/classifier/detection error分类
信息技术与安全科学引用本文复制引用
张夏..基于机器学习算法的网络入侵检测[J].现代电子技术,2018,41(3):124-127,4.
