通信学报Issue(10)：135-142,8.DOI:10.3969/j.issn.1000-436x.2013.10.016
基于主动学习和SVM方法的网络协议识别技术
Network protocol identification based on active learning and SVM algorithm
摘要
Abstract
Obtaining qualified training data for protocol identification generally requires domain experts to be involved, which is time-consuming and laborious. A novel approach for network protocol identification based on active learning and SVM algorithm was proposed. The experimental evaluations on real-world network traces show this approach can accurately and efficiently classify the target network protocol from mixed Internet traffic, and meanwhile display a sig-nificant reduction in the number of labeled samples. Therefore, this approach can be employed as an auxiliary tool for analyzing unknown protocols in real-world environment.关键词
网络安全/网络协议识别/主动学习/网络数据流/支持向量机Key words
network security/protocol identification/active learning/network traces/support vector machine分类
信息技术与安全科学引用本文复制引用
王一鹏,云晓春,张永铮,李书豪..基于主动学习和SVM方法的网络协议识别技术[J].通信学报,2013,(10):135-142,8.基金项目
国家高技术研究发展计划(“863”计划)基金资助项目(2012AA012803,2013AA014703)；国家科技支撑计划基金资助项目(2012BAH46B02)；国家自然科学基金资助项目(61303261,61303170)@@@@Foundation Item:The National High Technology Research and Development Program of China (863 Program)(2012AA012803，2013AA014703) （“863”计划）
The National Science and Technology Support Program (2012BAH46B02) （2012BAH46B02）
The National Natural Science Founda-tion of China (61303261,61303170) （61303261,61303170）
