An Empirical Model of Network Traffic Classification for Identifying Anonymous Behavior
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2014 by IJETT Journal | ||
| Volume-12 Number-2 |
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| Year of Publication : 2014 | ||
| Authors : Vasanthi Pampana , J Peter Praveen |
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 10.14445/22315381/IJETT-V12P212 |
Citation
Vasanthi Pampana , J Peter Praveen. "An Empirical Model of Network Traffic Classification for Identifying Anonymous Behavior", International Journal of Engineering Trends and Technology (IJETT), V12(2),60-63 June 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Optimizing the internet traffic is always an important research issue in the field of network traffic classification, although various approaches available for minimizing the traffic over heads during the network traffic, they are not optimal. In this paper we are proposing an optimized classification approach for internet traffic by analyzing the behavior of the nodes for allowing or dis connection of the incoming node by computing the posterior probabilities of the factors with respect to the node.
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