A Proposal for IP Traffic Classifier for Educational Institutions
Now a days internet traffic classification is an emerging research field since 1990's because of its use in a large number of network activities. Traditional techniques of internet traffic classification that relied on well known TCP/UDP port numbers or payload based are rarely used because of use of dynamic port numbers instead of fixed port numbers and due to various cryptographic techniques which inhibit inspection of packet payload. Recent trends are use of ML (Machine Learning) algorithms for internet traffic classification. In the authors, research work they propose a technique to classify the internet traffic into two classes, one for educational websites and another for non-educational websites.