Hierarchical time series prediction of ARP calls combined with Extreme Value Theory identifies anomalous nodes while substantially lowering false positive rates on a real dataset of over 10 million calls.
In 2016 3rd international conference on advanced computing and com- munication systems (icaccs), V ol
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Detection of Anomalous Network Nodes via Hierarchical Prediction and Extreme Value Theory
Hierarchical time series prediction of ARP calls combined with Extreme Value Theory identifies anomalous nodes while substantially lowering false positive rates on a real dataset of over 10 million calls.