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Some Clustering-Based Methodology Applications to Anomaly Intrusion Detection Systems
Veselina Jecheva,Evgeniya Nikolova 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.1
The present paper introduces some clustering-based methodology applications to the anomaly and host-based intrusion detection. The proposed methodologies include fuzzy clustering, fuzzy clustering by local approximation of memberships and 2-means clustering algorithms. The presented anomaly-based frameworks are evaluated by simulation experiments and comparison of the obtained results.