Cisco Systems, Inc.
Learning criticality of misclassifications used as input to classification to reduce the probability of critical misclassification

Abstract:

In one embodiment, a device classification service that uses a machine learning-based device type classifier to classify endpoint devices with device types, identifies a set of device types having similar associated traffic telemetry features. The service obtains, via one or more user interfaces, feedback indicative of whether the device type classifier misclassifying an endpoint device having a particular device type in the set with another device type in the set would be a critical misclassification. The service trains, using the obtained feedback, a prediction model to predict an impact of misclassifying the particular device type as one of the other device types in the set of device types. The service also retrains the machine learning-based device type classifier based on a prediction from the prediction model.