IJSRP, Volume 3, Issue 5, May 2013 Edition [ISSN 2250-3153]
Miss. Ghodake shubhangi , Miss. Raut Sarika , Miss. Ghuge Shital
Network trafﬁc classiﬁcation is challenging task in high speed network. Network monitoring is required for quality of service and analysis, therefore it generate network trafﬁc. Existing system has some drawback, to overcome that drawback we have develop our system i.e classiﬁcation of network trafﬁc using machine learning algorithm. According to generated trafﬁc information by client we have constructed boosted classiﬁer with high accuracy. This system is used to classify application like FTP, Skype, TCP ,etc. For constructing c5.0 classiﬁer we have to provide unique dataset and training set to algorithm. This paper shows how we implement machine learning algorithm and how we use that algorithm for classiﬁcation of network trafﬁc.