Title :
Applications of Clustering Methods to Anomaly-Based Intrusion Detection Systems
Author :
Evgeniya Nikolova;Veselina Jecheva
Author_Institution :
Fac. of Comput. Sci. &
Abstract :
The present paper introduces some applications of clustering methodology, namely FLAME algorithm to the behavioral analysis of the user activities, performed by a host-based intrusion detection system. The normal and anomalous activity patterns are distinguished by 2-means clustering algorithm and separated into two non-intersecting clusters. The results of the performed simulation experiments are represented as well.
Keywords :
"Clustering algorithms","Indexes","Approximation algorithms","Intrusion detection","Fires","Classification algorithms"
Conference_Titel :
Database Theory and Application (DTA), 2015 8th International Conference on
DOI :
10.1109/DTA.2015.19