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

Author(s): Deepak Rathore | Anurag Jain

Journal: International Journal of Advanced Computer Research
ISSN 2249-7277

Volume: 2;
Issue: 5;
Start page: 181;
Date: 2012;
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Keywords: Intrusion Detection | ECC | SOM | KDD-CUP 99

In current scenario of internet technology security is bigchallenge. Internet network threats by various cyber-attackand loss the system data and degrade the performance ofhost computer. In this sense intrusion detection arechallenging field of research in concern of networksecurity based on firewall and some rule based detectiontechnique. In this paper we proposed an Ensemble ClusterClassification technique using som network for detectionof mixed variable data generated by malicious software forattack purpose in host system. In our methodology SOMnetwork control the iteration of distance of differentparameters of ensembling our experimental result showthat better empirical evaluation on KDD data set 99 incomparison of existing ensemble classifier.
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