IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Regular Section
Score Level Fusion for Network Traffic Application Identification
Masatsugu ICHINOHiroaki MAEDAHiroshi YOSHIURA
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2016 年 E99.B 巻 6 号 p. 1341-1352

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抄録
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.
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© 2016 The Institute of Electronics, Information and Communication Engineers
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