most citedNetwork Volume Anomaly Detection and Identification in Large-scale Networks based on Online Time-structured Traffic Tensor Tracking

71 citations · 71 across the 1 of their papers we have counts for

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1 paper

cs.NI2016★ 71 cited

Network Volume Anomaly Detection and Identification in Large-scale Networks based on Online Time-structured Traffic Tensor Tracking

Hiroyuki Kasai, Wolfgang Kellerer, Martin Kleinsteuber

This paper addresses network anomography, that is, the problem of inferring network-level anomalies from indirect link measurements. This problem is cast as a low-rank subspace tra…