NADO: network anomaly detection using outlier approach
Proceedings of the 2011 International Conference on Communication, Computing & Security
Outlier detection using naïve bayes in wireless ad hoc networks
Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications
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Network intrusion detection system serves as a second line of defense to intrusion prevention. Anomaly detection approach is important in order to detect new attacks. This paper adopted connectivity-based outlier detection scheme from statistical field to detect anomaly behavior in network intrusion detection. We also evaluated the capability of this new approach with the data set from KDD Cup 1999 data mining competition. The results indicated that the connectivity-based scheme outperform current anomaly detection approach in the capability to detect attacks and low false alarm rate.