SVM-based Classification Mechanism and Its Application in SDN Networks

Chien Chang Liu, Yu Chang, Chia Wei Tseng, Yao Tsung Yang, Meng Sheng Lai, Li Der Chou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

In recent year, as growth of the cloud computing, mobile network, and Internet-of-Things technology, user requirements for network services, real-time data processing and resource management are becoming more and more diverse. Software defined networking (SDN) and network functions virtualization (NFV) technologies are not only transforming network infrastructure from complicated physical entities to virtual and programmable nodes, but also centralizing the network control to decrease the complexity of network topology. Network security is being questioned because many application traffic hidden in the HTTP and HTTPS protocol, so support vector machine (SVM) based internet traffic identification and classification (STIC) are proposed to identify application traffic. In this paper, STIC mechanism, is addressed to classify 28 application traffic such as Facebook, Line, and YouTube etc. STIC mechanism can not only classify YouTube traffic type, but also classify YouTube streaming in length and quality. Classification accuracies can reach 99.00% accuracy and 92.78% accuracy respectively.

Original languageEnglish
Title of host publication2018 10th International Conference on Communication Software and Networks, ICCSN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages45-49
Number of pages5
ISBN (Electronic)9781538672235
DOIs
StatePublished - 9 Oct 2018
Event10th International Conference on Communication Software and Networks, ICCSN 2018 - Chengdu, China
Duration: 6 Jul 20189 Jul 2018

Publication series

Name2018 10th International Conference on Communication Software and Networks, ICCSN 2018

Conference

Conference10th International Conference on Communication Software and Networks, ICCSN 2018
Country/TerritoryChina
CityChengdu
Period6/07/189/07/18

Keywords

  • network management
  • NFV
  • SDN
  • support vector machine
  • traffic identification and classification

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