ANOMALY DETECTION IN A NETWORK COUPLING STATE INFORMATION WITH MACHINE LEARNING OUTPUTS
First Claim
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1. A method, comprising:
- receiving, at a device in a network, an output of an anomaly detection model;
receiving, at the device, state information surrounding the output of the anomaly detection model;
determining, by the device, whether the state information supports the output of the anomaly detection model; and
causing, by the device, the anomaly detection model to be adjusted based on a determination that the state information does not support the output of the anomaly detection model.
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Abstract
In one embodiment, a device in a network receives an output of an anomaly detection model. The device receives state information surrounding the output of the anomaly detection model. The device determines whether the state information supports the output of the anomaly detection model. The device causes the anomaly detection model to be adjusted based on a determination that the state information does not support the output of the anomaly detection model.
32 Citations
20 Claims
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1. A method, comprising:
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receiving, at a device in a network, an output of an anomaly detection model; receiving, at the device, state information surrounding the output of the anomaly detection model; determining, by the device, whether the state information supports the output of the anomaly detection model; and causing, by the device, the anomaly detection model to be adjusted based on a determination that the state information does not support the output of the anomaly detection model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An apparatus, comprising:
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one or more network interfaces to communicate with a network; a processor coupled to the network interfaces and adapted to execute one or more processes; and a memory configured to store a process executable by the processor, the process when executed configured to; receive an output of an anomaly detection model; receive state information surrounding the output of the anomaly detection model; determine whether the state information supports the output of the anomaly detection model; and cause the anomaly detection model to be adjusted based on a determination that the state information does not support the output of the anomaly detection model. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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20. A tangible, non-transitory, computer-readable media having software encoded thereon, the software when executed by a processor of a device configured to:
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receive an output of an anomaly detection model; receive state information surrounding the output of the anomaly detection model; determine whether the state information supports the output of the anomaly detection model; and cause the anomaly detection model to be adjusted based on a determination that the state information does not support the output of the anomaly detection model.
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Specification