An Intrusion Detection Based on Clustering Ensemble
Yanhua Sun · Computer Technology and Development · 2011
With the rapid development of network,more and more network security problems are appearing,the traditional network security technology has been difficult to protect the network by growing range of network attacks.So the intrusion detection is turned out,and it gets more important in the network.Intrusion detection based on cluster analysis has become the main research directions.Cluster analysis is an effective method for anomaly intrusion detection,and it can distinguish the normal and abnormal data of the network data.But a single clustering algorithm is hard to achieve the desired effect.In order to improve the effectiveness of intrusion detection,proposes a new fuzzy clustering ensemble algorithm based on Co-assocition.Through experimental testing can significantly improve the detection rate and lower false alarm rate.