2011 | OriginalPaper | Buchkapitel
Anomaly-Based Network Intrusion Detection Using Outlier Subspace Analysis: A Case Study
verfasst von : David Kershaw, Qigang Gao, Hai Wang
Erschienen in: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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This paper employs SPOT (Stream Projected Outlier deTector) as a prototype system for anomaly-based intrusion detection and evaluates its performance against other major methods. SPOT is capable of processing high-dimensional data streams and detecting novel attacks which exhibit abnormal behavior, making it a good candidate for network intrusion detection. This paper demonstrates SPOT is effective to distinguish between normal and abnormal processes in a UNIX System Call dataset.