Analysis of features selection for p2p traffic detection using support vector machine

• Main Authors: Jamil, Haitham A., Zarei, Roozbeh, Fadlelssied, Nadir O., Aliyu, M., Nor, Sulaiman M., Marsono, Muhammad N.
• Format: Conference or Workshop Item
• Published: 2013
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/50895/; http://apps.webofknowledge.com.ezproxy.utm.my/full_record.do?product=WOS&search_mode=GeneralSearch&qid=13&SID=N2huBv5qmbZvAuY37Y4&page=1&doc=1

Network traffic classification plays a vital role in various network activities. Network traffic data include a large number of relevant and redundant features, which increase the flow classifier computational complexity and affect the classification results. This paper focuses on the analysis of di...