基于K-平均值方法的入侵检测系统

IDS (Intrusion Detection System)Based on K-Means Algorithm

介绍了入侵检测系统,将数据挖掘中的K-平均值聚类方法应用于入侵检测系统,对仿真实验的结果进行了分析,证明了将K-平均值方法用于网络入侵检测的可行性。

This paper introduces IDS, introduces K-means clustering in data mining into IDS, and analyzes the simulation results, and proves the feasibility of applying K-means algorithm in network intrusion detection.