Performance Enhancement of Intrusion Detection using Neuro - Fuzzy Intelligent System
Journal Title: Indian Journal of Computer Science and Engineering - Year 2014, Vol 5, Issue 5
Abstract
This research work aims at developing hybrid algorithms using data mining techniques for the effective enhancement of anomaly intrusion detection performance. Many proposed algorithms have not addressed their reliability with varying amount of malicious activity or their adaptability for real time use. The study incorporates a theoretical basis for improvement in performance of IDS using K-medoids Algorithm, Fuzzy Set Algorithm, Fuzzy Rule System and Neural Network techniques. Also statistical significance of estimates has been looked into for finalizing the best one using DARPA network traffic datasets.
Authors and Affiliations
Dr. K. S. Anil Kumar , Dr. V. Nanda Mohan
Keywords
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