Год выпуска: 2011 Автор: Kuldeep Singh and Sunil Agrawal Издательство: LAP Lambert Academic Publishing Страниц: 100 ISBN: 9783846595619
Описание
With rapid growth of internet traffic over last few years, the area of internet traffic classification becomes very significant for various ISPs. Now days, traditional internet traffic classification techniques such as port number and payload based techniques are seldom used because of use of dynamic port number instead of well-known port number in packet headers and various cryptographic techniques used to encrypt packet payload. Current trends are use of machine learning techniques for internet traffic classification. In this research work, downloaded internet traffic dataset, self-developed internet traffic datasets for packet capture duration of 2 minute and 2 seconds and reduced feature datasets developed using Correlation based Feature Selection Algorithm are employed for analysis purpose. Then, five ML algorithms Multilayer Perceptron, Radial Basis Function Neural Network, C4.5 Decision Tree, Bayes Net and Naive Bayes algorithms are used for internet traffic classification....
