TPCAD:a text-oriented multi-protocol inference approach
Protocol inference, which discovers protocol characteristics automatically, is an important problem in traffic classification.An accurate and efficient inference method based on semantic analysis of text traffic was proposed.According to the semantic analysis, the text content of traffic to token se...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2009-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74652176/ |
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| _version_ | 1841537594572144640 |
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| author | ZHAO Yong1 YAO Qiu-lin1 ZHANG Zhi-bin1 GUO Li1 FANG Bin-xing1 |
| author_facet | ZHAO Yong1 YAO Qiu-lin1 ZHANG Zhi-bin1 GUO Li1 FANG Bin-xing1 |
| author_sort | ZHAO Yong1 |
| collection | DOAJ |
| description | Protocol inference, which discovers protocol characteristics automatically, is an important problem in traffic classification.An accurate and efficient inference method based on semantic analysis of text traffic was proposed.According to the semantic analysis, the text content of traffic to token sequences was resolved.Then the token sequences based on a similarity comparison criterion on semantic space was clustered.At last the recognition characteristics was extracted from the token sequences that belong to the same protocol.In the experiment, the precision ratio is above 95% for common protocols and the speed can meet the needs of online training and classification. |
| format | Article |
| id | doaj-art-1ee7f3222ca24c2181f1625fc74b8bca |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2009-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-1ee7f3222ca24c2181f1625fc74b8bca2025-01-14T08:28:13ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2009-01-0130283574652176TPCAD:a text-oriented multi-protocol inference approachZHAO Yong1YAO Qiu-lin1ZHANG Zhi-bin1GUO Li1FANG Bin-xing1Protocol inference, which discovers protocol characteristics automatically, is an important problem in traffic classification.An accurate and efficient inference method based on semantic analysis of text traffic was proposed.According to the semantic analysis, the text content of traffic to token sequences was resolved.Then the token sequences based on a similarity comparison criterion on semantic space was clustered.At last the recognition characteristics was extracted from the token sequences that belong to the same protocol.In the experiment, the precision ratio is above 95% for common protocols and the speed can meet the needs of online training and classification.http://www.joconline.com.cn/zh/article/74652176/protocol inferencetraffic classificationsemanticclustering |
| spellingShingle | ZHAO Yong1 YAO Qiu-lin1 ZHANG Zhi-bin1 GUO Li1 FANG Bin-xing1 TPCAD:a text-oriented multi-protocol inference approach Tongxin xuebao protocol inference traffic classification semantic clustering |
| title | TPCAD:a text-oriented multi-protocol inference approach |
| title_full | TPCAD:a text-oriented multi-protocol inference approach |
| title_fullStr | TPCAD:a text-oriented multi-protocol inference approach |
| title_full_unstemmed | TPCAD:a text-oriented multi-protocol inference approach |
| title_short | TPCAD:a text-oriented multi-protocol inference approach |
| title_sort | tpcad a text oriented multi protocol inference approach |
| topic | protocol inference traffic classification semantic clustering |
| url | http://www.joconline.com.cn/zh/article/74652176/ |
| work_keys_str_mv | AT zhaoyong1 tpcadatextorientedmultiprotocolinferenceapproach AT yaoqiulin1 tpcadatextorientedmultiprotocolinferenceapproach AT zhangzhibin1 tpcadatextorientedmultiprotocolinferenceapproach AT guoli1 tpcadatextorientedmultiprotocolinferenceapproach AT fangbinxing1 tpcadatextorientedmultiprotocolinferenceapproach |