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