Multivariate SVD Analyses For Network Anomaly Detection
نویسندگان
چکیده
We are investigating the use of signals analysis methods for near real-time anomaly and intrusion detection. Recently, methods such as wavelet analysis [1], and principle component analysis [2-4] have been applied to network measurement data as a means for automatically detecting anomalies in networks. Anomalies have included both local events such as flash crowds, as well as global events such as routing anomalies. We build on and extend these works in an attempt to automatically identify smaller scale, local anomalies such as denial-of-service attacks. *
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