基于模糊聚类的网络入侵检测

聚类分析是一种有效的异常入侵检测方法,本文提出基于模糊C-均值聚类的网络入侵检测算法。用KDD Cup 1999数据集的仿真试验结果表明算法的可行性、有效性和扩展性,并有效提高了聚类检测的检测率,降低了误报率。

Network Intrusion Detection Based on Fuzzy Clustering Algorithm

Clustering is an effective method of anomaly intrusion detection.This article analyzes on the characteristic of the intrusion detection technique for newly and unknown attack,and brings forward algorithm of Network Instrusion De- tection based on Fuzzy C-means Clustering.The result of simulations run on the KDD Cup 1999 datasets to show the feasible,efficient and extensible for unknown intrusion detection,and increase detection rate of the clustering detection and decrease the false alarms rate.