Design Hybrid method for intrusion detection using Ensemble cluster classification and SOM network

In current scenario of internet technology security is big challenge. Internet network threats by various cyber-attack and loss the system data and degrade the performance of host computer. In this sense intrusion detection are challenging field of research in concern of network security based on firewall and some rule based detection technique. In this paper we proposed an Ensemble Cluster Classification technique using som network for detection of mixed variable data generated by malicious software for attack purpose in host system. In our methodology SOM network control the iteration of distance of different parameters of ensembling our experimental result show that better empirical evaluation on KDD data set 99 in comparison of existing ensemble classifier.