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dc.contributor.authorWu, Ameizh_CN
dc.contributor.authorDong, Huailinzh_CN
dc.contributor.authorWu, Qingfengzh_CN
dc.contributor.authorLing, Linzh_CN
dc.contributor.author董槐林zh_CN
dc.contributor.author吴清锋zh_CN
dc.date.accessioned2015-07-22T02:16:23Z
dc.date.available2015-07-22T02:16:23Z
dc.date.issued2011zh_CN
dc.identifier.citationProceedings - 2011 4th International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2011, 2011,3:201-204zh_CN
dc.identifier.other20120614754710zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/85861
dc.descriptionConference Name:4th International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2011. Conference Address: Shenzhen, China. Time:November 26, 2011 - November 27, 2011.zh_CN
dc.description.abstractApplication-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. ? 2011 IEEE.zh_CN
dc.language.isoen_USzh_CN
dc.publisherIEEE Computer Societyzh_CN
dc.source.urihttp://dx.doi.org/10.1109/ICIII.2011.331zh_CN
dc.subjectAlgorithmszh_CN
dc.subjectIndustrial engineeringzh_CN
dc.subjectInformation managementzh_CN
dc.subjectInnovationzh_CN
dc.subjectLearning systemszh_CN
dc.subjectResearchzh_CN
dc.titleA survey of application-level protocol identification based on machine learningzh_CN
dc.typeConferencezh_CN


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