机器学习在网络入侵检测中的应用

Machine Learning in Network Intrusion Detection

随着网络的快速发展,网络安全成为计算机网络中一个重要的研究方向,基于机器学习的入侵检测方法实现了对网络攻击的智能检测。主要简单介绍和评述了现阶段机器学习的主要方法,然后对在入侵检测当中四种具体的机器学习方法进行了描述,最后和现阶段网络攻击的发展趋势紧密结合在一起,对入侵检测中机器学习方法的发展方向进行了详细的阐述。

With the rapid development of network,network security has become an important research direction in computer networks.Machine learning based intrusion detection method has realized intelligent detection of network attacks.Mainly introduces and reviews the current methods of machine learning,and then on the four specific machine learning methods of intrusion detection are described,and finally present the development trend of network attack closely unifies in together,for the development direction of intrusion detection machine learning methods in detail in this paper.