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Sensitivity of PCA for traffic anomaly detection

Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer s..., no. 1 (2007): 109-120

Cited by: 457|Views114
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Abstract

Detecting anomalous traffic is a crucial part of managing IP networks. In recent years, network-wide anomaly detection based on Principal Component Analysis (PCA) has emerged as a powerful method for detecting a wide variety of anomalies. We show that tuning PCA to operate effectively in practice is difficult and requires more robust tech...More

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