Genetic Anomaly Based Ids

International Journal of Computer Science and Engineering

© 2017 by SSRG - IJCSE Journal

Volume 4 Issue 3

Year of Publication : 2017

Authors : M. Jagadheeswari, Dr. M. Anand Kumar

10.14445/23488387/IJCSE-V4I3P104

How to Cite?

M. Jagadheeswari, Dr. M. Anand Kumar, "Genetic Anomaly Based Ids," SSRG International Journal of Computer Science and Engineering , vol. 4,  no. 3, pp. 14-16, 2017. Crossref, https://doi.org/10.14445/23488387/IJCSE-V4I3P104

Abstract:

The security of network devices will be great issues to provide quality of network. Intrusion detection system have been used many techniques to identify, detect and classify attacks that have been proposed, developed and tested either in offline or online mode. Clustering based detection technique is used to find out the dissimilarity measure to form the k clusters. It represents genetic process specified each chromosome of centroids of the clusters. Two stage fitness function proposed: i) refine the clustering function to introduce the confidence interval ii) calculate and maximize the inter-cluster variance

Keywords:

anomaly based IDS, Genetic algorithm, Clustering.

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