Application of clustering analysis in Intrusion Detection

被引：1

作者：

Zhang, Yifan ^{[1
]}

Li, Xingshan ^{[1
]}

Xu, Min ^{[1
]}

机构：

[1] Luo He Med Coll, Luohe 462000, Peoples R China

来源：

3RD INTERNATIONAL CONFERENCE ON INTELLIGENT ENERGY AND POWER SYSTEMS (IEPS 2017) | 2017年

关键词：

Cluster; Analysis Techniques; Boundary Detection; Intrusion Detection;

D O I：

10.23977/ieps.2017.1021

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Clustering technology and boundary point detection technology and its application in intrusion detection system are introduced in this paper from three aspects, which are the application of clustering analysis, boundary detection and clustering analysis in Intrusion Detection System. The data processing and the requirement of clustering algorithm for intrusion detection system are introduced in detail. Analyzed the result of the experiment environment and experiment, further validation of this project is based on the improved NPRIM algorithm applied to intrusion detection is effective and feasible.

引用

页码：149 / 154

页数：6

共 5 条

[1] Data preprocessing for anomaly based network intrusion detection: A review [J].