DocumentCode
2802292
Title
A Survey of Application-Level Protocol Identification Based on Machine Learning
Author
Amei, Wu ; Huailin, Dong ; Qingfeng, Wu ; Ling, Lin
Author_Institution
Software Sch., Xiamen Univ., Xiamen, China
Volume
3
fYear
2011
fDate
26-27 Nov. 2011
Firstpage
201
Lastpage
204
Abstract
Application-level protocol identification has attracted great interests in academia and become a relatively independent research realm. With the rapid development of Internet and the protocols complicated day by day, the traditional port-based application-level protocol identification algorithms become inaccurate. Machine learning is a hot research in the hour. Many researchers have taken the method into consideration in application protocol recognition. The high correct rate and wide applicability make it promising. In the paper, some basic conceptions of protocol identification are introduced and some important algorithms of machine learning used in application-level protocol identification are summarized in three main way. The applicability is summarized by comparison. In the end, some disadvantages in the method and future research directions are posed.
Keywords
Internet; learning (artificial intelligence); protocols; Internet; application protocol recognition; machine learning; port-based application-level protocol identification; Accuracy; Bayesian methods; Classification algorithms; Internet; Machine learning; Machine learning algorithms; Protocols; algorithm; application-level protocol identification; machine learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-61284-450-3
Type
conf
DOI
10.1109/ICIII.2011.331
Filename
6114688
Link To Document