摘要
对网络连接数据进行预处理和特征提取,将其转变成适合于入侵检测的数据集。采用主成分分析(PCA)方法对海量网络连接数据集进行降维,在低维子空间进行入侵检测。建立了仿真模型,仿真结果表明,该方法计算量小,处理速度快,实现了对海量网络入侵数据的实时检测。
Through pretreatment and relevant feature selection, the network connecting data can be transferred to some data sets which are suitable for intrusion detection. A intrusion detection emulation model is developed based on the principle component analy- sis（PCA） method to monitor computer network behaviors, Testing results show that the proposed modes is promising in terms of detection accuracy, computation expense and implementation for real-time intrusion detection.
出处
《微计算机信息》
2010年第16期166-168,共3页
Control & Automation
关键词
入侵检测
网络安全
主成分分析
Intrusion detection
Network security
Principle component analysis
