| 一种基于模糊聚类方法的入侵检测研究 |
| |
| 引用本文： | 李峰.一种基于模糊聚类方法的入侵检测研究[J].河北软件职业技术学院学报,2009,11(2):44-46. |
| |
| 作者姓名： | 李峰 |
| |
| 作者单位： | 华北电力大学计算机科学与技术学院,河北,保定071003 |
| |
| 摘 要： | 聚类分析是一种有效的入侵检测方法.可以从网络数据中区分正常流量和异常流量.本文提出一种模糊聚类分析方法,利用数据之间的相似度进行聚类,试验证明,该方法可以有效地检测网络入侵.
|
| 关 键 词： | 入侵检测 模糊聚类 Warshall算法 |
A Research based on Fuzzy Clustering in Intrusion Detection |
| |
| LI Feng.A Research based on Fuzzy Clustering in Intrusion Detection[J].Journal of Hebei Software Institute,2009,11(2):44-46. |
| |
| Authors: | LI Feng |
| |
| Institution: | North China Electric Power University;Hebei Baoding;071003;China |
| |
| Abstract: | Fuzzy Clustering is an effective method in intrusion detection,and it can distinguish normal traffic from abnormal traffic.This paper introduces a method based on Fuzzy Clustering,which can cluster the data with the similarity between the data.This method is effective to detect network intrusion according to the experiment. |
| |
| Keywords: | intrusion detection fuzzy clustering Warshall algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
