Presentation | 2012-11-22 A Classification Method of Application Traffic in Encrypted Tunnel Using SVM ThanhTuan NGUYEN, Yasuhiro NAKAMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Curently, research on classification of application traffic which use the result of monitoring network traffic with encrypted payload of packet has been proposed. They identify network traffic using methods that compare the characteristics of transmission and reception of unknown application flow and the known applications flow. However, in the case of network traffic of encrypted tunnel, it is difficult to split flow, packet transmission is delayed on the route and the changes in the behavior of each application is destabilizing. Thus, stable and hight accuracy idenification has been difficult. In this report, we extracted the feature vectors that eliminated influence of the delay on the Internet. We based on SVM (Support Vector Machines), one of the most promising Machine Learning (ML) tools, for apply to the problem of traffic classification in encrypted tunnel. Validation experiments result showed hight accuracy 90%~97%, although use only about 2~5 feature vectors. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | SVM / Network traffic / Classification / Application / Encryption |
Paper # | ISEC2012-64,LOIS2012-39 |
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Committee | LOIS |
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Conference Date | 2012/11/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Life Intelligence and Office Information Systems (LOIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Classification Method of Application Traffic in Encrypted Tunnel Using SVM |
Sub Title (in English) | |
Keyword(1) | SVM |
Keyword(2) | Network traffic |
Keyword(3) | Classification |
Keyword(4) | Application |
Keyword(5) | Encryption |
1st Author's Name | ThanhTuan NGUYEN |
1st Author's Affiliation | Department of Computer Science National Defense Academy() |
2nd Author's Name | Yasuhiro NAKAMURA |
2nd Author's Affiliation | Department of Computer Science National Defense Academy |
Date | 2012-11-22 |
Paper # | ISEC2012-64,LOIS2012-39 |
Volume (vol) | vol.112 |
Number (no) | 306 |
Page | pp.pp.- |
#Pages | 5 |
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