TRAINING A MACHINE LEARNING-BASED NETWORK TRAFFIC ANALYZER USING A PROTOTYPE DATASET

摘要

In embodiments, a device in a network generates a feature vector based on traffic flow data regarding one or more traffic flows in the network. The device makes a determination as to whether the generated feature vector is already represented in a training dataset dictionary by one or more feature vectors in the dictionary. The device updates the training dataset dictionary based on the determination by one of: adding the generated feature vector to the dictionary when the generated feature vector is not already represented by one or more feature vectors in the dictionary, or incrementing a count associated with a particular feature vector in the dictionary when the generated feature vector is already represented by the particular feature vector in the dictionary. The device generates a training dataset based on the training dataset dictionary for training a machine learning-based traffic flow analyzer.