
Challenging Entropy-based Anomaly Detection and Diagnosis in Cellular Networks
In this paper, the authors challenge the applicability of entropy-based approaches for detecting and diagnosis network traffic anomalies and claim that full statistics (i.e., empirical probability distributions) should be applied to improve the change detection capabilities. They support their claim by detecting and diagnosing large-scale traffic anomalies in a real cellular network, caused by specific ...