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Anomaly detection involves identifying observations that deviate from the normal behavior of a system. One of the ways to achieve this is by identifying the phenomena that characterize "normal" observations. Subsequently, based on the characteristics of data learned from the "normal" observations, new observations are classified as being either "normal" or not. Most state-of-the-art...
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. Outlier detection scheme is one of the most successful anomaly detection approaches. In this paper, we propose a novel outlier detection scheme based on cost-distribution to detect anomaly behavior in network intrusion detection. We...
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