CONTENT CLASSIFICATION OF INTERNET TRAFFIC

摘要

A content-classification model is constructed using sampling methods to create training sets of classifiers using imbalanced and/or large-volume training data; the model maps network source addresses and/or flow sizes to target applications and is applied to network traffic to identify contents thereof and estimate a tonnage of traffic corresponding to a given application.

主权项

1. A method for constructing a content-classification model, the method comprising:
storing, in a computer memory, a training data set comprising a mapping of network source address and flow size to a target processor-executable application; computationally constructing a model that relates network source address and flow size to the target application; applying the model to a network traffic flow of data to identify data in the network traffic flow corresponding to the application; and computationally estimating a tonnage of traffic in the network traffic flow corresponding to the application.