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Full-Text Articles in Physical Sciences and Mathematics
Hierarchical Kohonenen Net For Anomaly Detection In Network Security, Suseela T. Sarasamma, Qiuming Zhu, Julie Huff
Hierarchical Kohonenen Net For Anomaly Detection In Network Security, Suseela T. Sarasamma, Qiuming Zhu, Julie Huff
Computer Science Faculty Publications
A novel multilevel hierarchicalKohonen Net (K-Map) for an intrusion detection system is presented. Each level of the hierarchical map is modeled as a simple winner-take-all K-Map. One significant advantage of this multilevel hierarchical K-Map is its computational efficiency. Unlike other statistical anomaly detection methods such as nearest neighbor approach, K-means clustering or probabilistic analysis that employ distance computation in the feature space to identify the outliers, our approach does not involve costly point-to-point computation in organizing the data into clusters. Another advantage is the reduced network size. We use the classification capability of the K-Map on selected dimensions of data …