Toward Fine-Grained Traffic Classification
- Title
- Toward Fine-Grained Traffic Classification
- Author
- 원영준
- Issue Date
- 2011-07
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
- Citation
- IEEE COMMUNICATIONS MAGAZINE,권: 49 호: 7 페이지: 104-111
- Abstract
- A decade of research on traffic classification has provided various methodologies to investigate the traffic composition in data communication networks. Many variants or combinations of such methodologies have been introduced continuously to improve the classification accuracy and efficiency. However, the level of classification details is often bounded to identifying protocols or applications in use. In this article, we propose a fine-grained traffic classification scheme based on the analysis of existing classification methodologies. This scheme allows to classify traffic according to the functionalities in an application. In particular, we present a traffic classifier which utilizes a document retrieval technique and applies multiple signatures to detect the peer-to-peer application traffic according to different functionalities in it. We show that the proposed scheme can provide more in-depth classification results for analyzing user contexts.
- URI
- http://ieeexplore.ieee.org/document/5936162/https://repository.hanyang.ac.kr/handle/20.500.11754/72907
- ISSN
- 0163-6804; 1558-1896
- DOI
- 10.1109/MCOM.2011.5936162
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > INFORMATION SYSTEMS(정보시스템학과) > Articles
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