摘要
针对高维度网络数据进行多类攻击行为检测的需求,提出一种基于PCA和Logit模型的网络入侵检测方法,通过PCA对网络数据降维、简化数据集和多项式Logit模型实现对不同攻击行为的识别并判别其类型。实验结果表明,方法在网络入侵识别上具有较理想的效果。
As the needs for detecting multi-class attacks of high-dimensional network data,the network intrusion detection method based on PCA and LOGIT model is proposed.The method reduces the network data dimensionality and simplifies data collection with PCA.The various attacks are identified and their types are judged with the Logit model in the method.The experimental results show that,this method has an ideal effect on identifying the network intrusion.
出处
《成都信息工程学院学报》
2014年第3期261-267,共7页
Journal of Chengdu University of Information Technology
基金
公益性行业(气象)科研专项资助项目(GYHY201306044)
