Title :
Classifying internet applications on early stage in 3G environment
Author :
Quan, Taizhong ; Lee, Seongjin ; Won, Youjip
Author_Institution :
Hanyang Univ., Seoul, South Korea
Abstract :
Application identification plays a crucial role in network management. Among many different approaches introduced in the field, Bernaille et al. 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. 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.
Keywords :
Internet; computer network management; 3G environment; Internet applications; application identification; connection-based clustering; network management; wireless environment; Clustering algorithms; Cryptography; Gaussian distribution; IP networks; Machine learning; Machine learning algorithms; Payloads; Statistical distributions; Traffic control; Web and internet services; 3G; Application classification; Clustering; Machine learning; network measurement;
Conference_Titel :
Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4898-2
Electronic_ISBN :
978-1-4244-4900-6
DOI :
10.1109/ICNIDC.2009.5360910
