Sensitivity of PCA for traffic anomaly d
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Ringberg, Haakon; Soule, Augustin; Rexford, Jennifer; Diot, Christophe
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Article
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2007
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Association for Computing Machinery
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English
β 503 KB
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