ANOMALY DETECTION AND PREDICTION IN A PACKET BROKER
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United States of America Patent
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Mar 22, 2017
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May 17, 2016
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Abstract
Techniques for performing anomaly detection and prediction in a packet broker of a visibility network are provided. According to one embodiment, the packet broker can apply one or more machine learning models to network traffic that is replicated from a core network. The packet broker can further detect or predict, based on the application of the one or more machine learning models, the occurrence of a network traffic anomaly in the core network. The packet broker can then take one or more predefined actions in response to the detection/prediction of the anomaly.
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