Jaspreet Kaur

Work place: University Institute of Engineering & Technology, Panjab University, Chandigarh (India)-160014

E-mail: jasgill.89@gmail.com


Research Interests:


Jaspreet Kaur is currently doing M.E. from University Institute of Engg. and Technology, Panjab Universisty, Chandigarh. She has received her B.Tech degree from Punjab Technical University, Jalandhar, India.

Her interests include Neural Networks and Embedded System.

Author Articles
Internet Traffic Classification for Educational Institutions Using Machine Learning

By Jaspreet Kaur Sunil Agrawal B.S.Sohi

DOI: https://doi.org/10.5815/ijisa.2012.08.05, Pub. Date: 8 Jul. 2012

In recent times machine learning algorithms are used for internet traffic classification. The infinite number of websites in the internet world can be classified into different categories in different ways. In educational institutions, these websites can be classified into two categories, educational websites and non-educational websites. Educational websites are used to acquire knowledge, to explore educational topics while the non-educational websites are used for entertainment and to keep in touch with people. In case of blocking these non-educational websites students use proxy websites to unblock them. Therefore, in educational institutes for the optimum use of network resources the use of non-educational and proxy websites should be banned. In this paper, we use five ML classifiers Naïve Bayes, RBF, C4.5, MLP and Bayes Net to classify the educational and non-educational websites. Results show that Bayes Net gives best performance in both full feature and reduced feature data sets for intended classification of internet traffic in terms of classification accuracy, recall and precision values as compared to other classifiers.

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