Network protocol identification based on active learning and SVM algorithm
Obtaining qualified training data for protocol identif ion 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 ne...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2013-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.10.016/ |
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| Summary: | Obtaining qualified training data for protocol identif ion 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. |
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| ISSN: | 1000-436X |