An Adaptive Approach of Clustering Application in the Intrusion Detection Systems
نویسندگان
چکیده
The present paper introduces an innovative approach for anomaly-based IDS. The main idea is to construct model that characterizes the expected/acceptable behavior of the system using a clustering algorithm based on a 2-means clustering anomaly detection technique and a classification tree. Methods for clustering, training and detection are provided. The applied parameter, considered for performance measurement, is the Rand index. Index Dunn and C-index are used in order to determine whether the clusters are compact and well separated.
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