期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：3
出版社：S.S. Mishra
摘要：Internet traffic classification into specific network applications is essential for managing network resources and from security point of view. Traditional classification techniques such as port based and payload based are having significant limitations. Hence newer statistical approach is adopted for classifying internet traffic into specific applications. This paper reviews modern statistical classification techniques which may or may not use Machine Learning approach, but still classify traffic with great accuracy.
关键词：online traffic classification; classification with Machine Learning; classification without Machine Learning; real time ;classification techniques
