入侵检测中的数据挖掘分析方法

Data Mining Methods in Intrusion Detection

入侵检测随着网络的发展而受到人们的重视。数据挖掘技术旨在从大量的数据中提炼出抽象的知识,揭示出蕴含在这些数据背后的客观规律,实现知识的自动获取。将数据挖掘与入侵检测结合起来能够提高入侵检测系统的智能性、准确性和检测效率。文章论述了数据挖掘分析方法在入侵检测中的应用,给出一种基于数据挖掘的入侵检测系统模型。

Intrusion detection is gathering more attention with the development of network. Data mining methods aim to abstract some useful knowledge for a mass of data, and open out the objective rules behind these data. To incorporate data mining and intrusion detection can improve the intelligence, veracity and inspection efficiency of intrusion detection system. The paper describes the application of data mining methods in intrusion detection and proposes a new intrusion detection system based on data mining.