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Classifying internet applications on early stage in 3G environment
- Authors
- Quan, Taizhong; Lee, Seongjin; Won, Youjip
- Issue Date
- Nov-2009
- Publisher
- IEEE
- Keywords
- Application classification; 3G; Machine learning; Clustering; network measurement
- Citation
- 2009 IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT, PROCEEDINGS, pp 435 - 439
- Pages
- 5
- Indexed
- SCIE
SCOPUS
- Journal Title
- 2009 IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT, PROCEEDINGS
- Start Page
- 435
- End Page
- 439
- ISSN
- 2374-0272
- Abstract
- Application identification plays a crucial role in network management. Among many different approaches introduced in the field, Bernaille et al. [1] introduces connection based clustering to identify applications. In this paper, first four packet sizes with directions are used as a feature set to cluster different applications in wireless environment, which is acclaimed to cluster with 93.7% of accuracy in [1]. However, our experiments not only show that it has low identification accuracy (89.3%), but also show clustering is not suitable for identification of wireless applications.
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