An Empirical Model of Network Traffic Classification for Identifying Anonymous Behavior
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2014, Vol 12, Issue 2
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.
Authors and Affiliations
Vasanthi Pampana , J Peter Praveen
Keywords
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