Service usage model for traffic analysis
Abstract:
In one embodiment, a device in a network identifies an set of services of a domain accessed by a plurality of users in the network. The device generates a service usage model for the domain based on the set of services accessed by the plurality of users. The service usage model models usage of the services of the domain by the plurality of users. The device trains a machine learning-based classifier to analyze traffic in the network using a set of training feature vectors. A particular training feature vector includes data indicative of service usage by one of the users for the domain and the modeled usage of the services of the domain by the plurality of users. The device causes classification of traffic in the network associated with a particular user by the trained machine learning-based classifier.
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