Some Clustering-Based Methodology Applications to Anomaly Intrusion Detection Systems
Veselina G. Jecheva, Evgeniya P. Nikolova · International Journal of Security and Its Applications · 2016
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.