摘要
入侵检测技术作为一种主动的网络安全防护技术越来越引起研究者的关注,但现有技术的误检率和漏检率较高。对入侵检测技术进行了介绍,分析了k-means算法及其存在的问题,提出了相应的改进策略,并将改进后的算法应用于入侵检测系统中。仿真实验结果表明,改进后的k-means算法在检测率和误检率上均优于传统的k-means算法。
As a proactive network security technology, the network intrusion detection technology has drawn increasing at- tention from researchers, but the existing technology of false detection rate and undetected rate is high. This paper intro- duces the intrusion detection technology to analyze the k-means algorithm, and made some improvement strategies will al- so be improved algorithm for intrusion detection systems, simulation results show that the improved method really works.
出处
《软件导刊》
2014年第3期59-61,共3页
Software Guide
基金
广西自然科学基金项目(2011GXNSFB018074)
广西教育厅科研项目(200911lx406
200103YB136)
河池学院科研项目(2008B-N005)
国家级大学生创新创业训练项目(201310605018)
广西大学生创新创业项目(2013-1126/1128)
关键词
网络入侵检测
聚类分析
K-MEANS算法
Network Intrusion Detection
Cluster Analysis
K-means Algorithm
False Negative Rate
False Alarm Rate
