文章基本信息

标题：SSPC ALGORITHM BASED ON THREE DIFFERENT METHODS FOR ONLINE SKYPE TRAFFIC CLASSIFICATION
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作者：HAMZA AWAD HAMZA IBRAHIM ; SULAIMAN MOHD NOR ; IZZELDIN IBRAHIM MOHAMED ABDELAZIZ 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：53
期号：3
出版社：Journal of Theoretical and Applied
摘要：Classification of real time applications such as Skype and online games has gained more attention in the last few years. Most of the current Skype classification methods were only valid for offline classification. Each of the three common classification methods (port, payload, statistics based) has some limitations. To increase the quality of Internet traffic classifier, this paper combined the three methods to products a new classification algorithm (SSPC). In the proposed algorithm, each traffic flow was classified parallel three times by one of the three method classifiers. Based on some priority rules, SSPC makes classification decision for each flow. The SSPC algorithm was used to classify Skype traffic in two stages offline and online. The results of both cases shown, SSPC is the higher accuracy when compared with other classifiers. Also, the results indicate that the SSPC algorithm was suitable for online classification decision which is taken within capturing time.
关键词：Internet Traffic classification; Skype classification; Online classification; Machine Learning; classification Algorithm