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AssigneeAT&T Intellectual Property I, L.P.
InventorsNicholas Duffield, Patrick Haffner, Balachander Krishnamurthy, Haakon Andreas Ringberg
Estimating the term…
A system to detect anomalies in internet protocol (IP) flows uses a set of machine-learning (ML) rules that can be applied in real time at the IP flow level. A communication network has a large number of routers equipped with flow monitoring capability. A flow collector collects flow data from the routers throughout the communication network and provides them to a flow classifier. At the same time, a limited number of locations in the network monitor data packets and generate alerts based on packet data properties. The packet alerts and the flow data are provided to a machine learning system that detects correlations between the packet-based alerts and the flow data to thereby generate a series of flow-level alerts. These rules are provided to the flow time classifier. Over time, the new packet alerts and flow data are used to provide updated rules generated by the machine learning system.
A system comprising:
A method comprising:
A memory storing instructions that, when executed by a processor of a system, cause the processor to perform operations comprising:
Dependencies are inferred from the claim text.