A novel classifier for engineering web traffic

This work presents a classifier capable of classifying websites accessed by a community of users based on characteristics of web traffic they generate. The classifier introduced here can be used for engineering web traffic. This classifier is capable of identifying a few different classes of websites based on intensity of bursts of web requests made to each website in both the long and the short run. Previous studies have proposed different classification algorithms in the area of general network traffic classification and web traffic mining. Work presented in this paper is based on Kohonen´s self organizing map trained using web traffic traces gathered from a busy proxy server. By integrating this classifier with a rate controlling module of a proxy server, web traffic can be engineered very easily.