采用数据挖掘的入侵检测技术研究

Study on intrusion detection based on data mining

基于数据挖掘的入侵检测系统由于其采用数据挖掘技术,成为下一代网络安全防护研究的热点。在数据挖掘技术中,聚类分析是一种重要技术,作者将信息熵理论应用到入侵检测聚类问题中,并通过以部分精度换取聚类高效实现的方式,结合统计的手段实现网络数据包信息的高效聚类。

IDS by data mining was becoming a hot topic for network security defense of next generation because of the data mining technology. Ciuster analysis was an important means in data mining. It was applied theory of information entropy to the clustering problem for intrusion detection, combined the statistical methods to accomplish a high efficiency purpose.