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

MLA Style:

M. Jagadheeswari, Dr. M. Anand Kumar, "Genetic Anomaly Based Ids" SSRG International Journal of Computer Science and Engineering 4.3 (2017): 14-16.

APA Style:

M. Jagadheeswari, Dr. M. Anand Kumar,(2017). Genetic Anomaly Based Ids. SSRG International Journal of Computer Science and Engineering 4(3), 14-16.


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


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Key Words:

anomaly based IDS, Genetic algorithm, Clustering.