Score Level Fusion for Network Traffic Application Identification

Masatsugu ICHINO  Hiroaki MAEDA  Hiroshi YOSHIURA  

IEICE TRANSACTIONS on Communications   Vol.E99-B   No.6   pp.1341-1352
Publication Date: 2016/06/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2015EBP3380
Type of Manuscript: PAPER
Category: Internet
traffic,  QoS,  application identification,  score level fusion,  

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A method based on score level fusion using logistic regression has been developed that uses packet header information to classify Internet applications. Applications are classified not on the basis of the individual flows for each type of application but on the basis of all the flows for each type of application, i.e., the “overall traffic flow.” The overall traffic flow is divided into equal time slots, and the applications are classified using statistical information obtained for each time slot. Evaluation using overall traffic flow generated by five types of applications showed that its true and false positive rates are better than those of methods using feature level fusion.