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Network Traffic Anomaly Detection Analysis by nekofell908 is a document available to read on EtoBox.
What is Network Traffic Anomaly Detection Analysis about?
The document discusses a signal analysis method for detecting network traffic anomalies using SNMP and IP flow data, primarily from a border router at the University of Wisconsin-Madison. It presents a wavelet analysis technique that separates data into different frequency strata to identify anomalies, achieving a high detection rate when compared to the Holt-Winters algorithm. The authors conclude that their method performs comparably to existing techniques and suggests potential future improvements in cla
- Author
- nekofell908
- Language
- EN