Automatic traffic signature extraction based on Smith-waterman algorithm for traffic classification
Nowadays, more and more applications use proprietary protocols, which make it difficult to identify them by using predefined well-known ports. Among all the mechanisms to identify and classify network traffic, the deep packet inspection (DPI)[1] is the most widely used method. In order to make the i...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 158 |
|---|---|
| container_issue | |
| container_start_page | 154 |
| container_title | |
| container_volume | |
| creator | Xuepeng Feng Xiaohong Huang Xu Tian Yan Ma |
| description | Nowadays, more and more applications use proprietary protocols, which make it difficult to identify them by using predefined well-known ports. Among all the mechanisms to identify and classify network traffic, the deep packet inspection (DPI)[1] is the most widely used method. In order to make the identification more accuracy, we should build a good set of application protocol signatures, however, it is a very time consuming task and demands a high expertise. This paper proposes an automatic traffic signature generation approach based on Smith-waterman algorithm, which is widely used for determining similar regions between two nucleotide or protein sequences. Our results show that it is a very accurate and quick approach compared to the approach that uses preceding application protocol analysis. |
| doi_str_mv | 10.1109/ICBNMT.2010.5704886 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5704886</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5704886</ieee_id><sourcerecordid>5704886</sourcerecordid><originalsourceid>FETCH-LOGICAL-c140t-809a3c80bae5daa083e7f73ee4965802607f9782f3d65a3cbd9f4bbc1fa391173</originalsourceid><addsrcrecordid>eNo9kMtOwzAQRY0QElDyBd3kB1L8ih_LEvGoVGBBWVcTxy5GeSDbFfD3GBExm3vnaOZKMwgtCV4RgvX1prl5etytKM6glpgrJU5QoaUinHIupKTsFF3OjdDkHBUxvuNcNZWM1hfIrI9pGiB5U6YAzmWN_jBCOgZb2q_MTPLTWLYQbVdm8zL49FZ9QrJhgLGE_jCFTIbSTeE_wvQQo88Ofpev0JmDPtpi1gV6vbvdNQ_V9vl-06y3lSEcp0phDcwo3IKtOwCsmJVOMmu5FrXCVGDp8mnUsU7UebLttONta4gDpgmRbIGWf7neWrv_CH6A8L2f_8J-ACyWWTk</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Automatic traffic signature extraction based on Smith-waterman algorithm for traffic classification</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Xuepeng Feng ; Xiaohong Huang ; Xu Tian ; Yan Ma</creator><creatorcontrib>Xuepeng Feng ; Xiaohong Huang ; Xu Tian ; Yan Ma</creatorcontrib><description>Nowadays, more and more applications use proprietary protocols, which make it difficult to identify them by using predefined well-known ports. Among all the mechanisms to identify and classify network traffic, the deep packet inspection (DPI)[1] is the most widely used method. In order to make the identification more accuracy, we should build a good set of application protocol signatures, however, it is a very time consuming task and demands a high expertise. This paper proposes an automatic traffic signature generation approach based on Smith-waterman algorithm, which is widely used for determining similar regions between two nucleotide or protein sequences. Our results show that it is a very accurate and quick approach compared to the approach that uses preceding application protocol analysis.</description><identifier>ISBN: 1424467691</identifier><identifier>ISBN: 9781424467693</identifier><identifier>EISBN: 9781424467723</identifier><identifier>EISBN: 1424467713</identifier><identifier>EISBN: 1424467721</identifier><identifier>EISBN: 9781424467716</identifier><identifier>DOI: 10.1109/ICBNMT.2010.5704886</identifier><language>eng</language><publisher>IEEE</publisher><subject>automatic signature generation ; deep packet inspection ; Electronic publishing ; Information services ; Inspection ; Internet ; Laser applications ; Nonlinear optics ; Smith-waterman ; Switches ; traffic classification</subject><ispartof>2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT), 2010, p.154-158</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c140t-809a3c80bae5daa083e7f73ee4965802607f9782f3d65a3cbd9f4bbc1fa391173</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5704886$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5704886$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xuepeng Feng</creatorcontrib><creatorcontrib>Xiaohong Huang</creatorcontrib><creatorcontrib>Xu Tian</creatorcontrib><creatorcontrib>Yan Ma</creatorcontrib><title>Automatic traffic signature extraction based on Smith-waterman algorithm for traffic classification</title><title>2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT)</title><addtitle>ICBNMT</addtitle><description>Nowadays, more and more applications use proprietary protocols, which make it difficult to identify them by using predefined well-known ports. Among all the mechanisms to identify and classify network traffic, the deep packet inspection (DPI)[1] is the most widely used method. In order to make the identification more accuracy, we should build a good set of application protocol signatures, however, it is a very time consuming task and demands a high expertise. This paper proposes an automatic traffic signature generation approach based on Smith-waterman algorithm, which is widely used for determining similar regions between two nucleotide or protein sequences. Our results show that it is a very accurate and quick approach compared to the approach that uses preceding application protocol analysis.</description><subject>automatic signature generation</subject><subject>deep packet inspection</subject><subject>Electronic publishing</subject><subject>Information services</subject><subject>Inspection</subject><subject>Internet</subject><subject>Laser applications</subject><subject>Nonlinear optics</subject><subject>Smith-waterman</subject><subject>Switches</subject><subject>traffic classification</subject><isbn>1424467691</isbn><isbn>9781424467693</isbn><isbn>9781424467723</isbn><isbn>1424467713</isbn><isbn>1424467721</isbn><isbn>9781424467716</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRY0QElDyBd3kB1L8ih_LEvGoVGBBWVcTxy5GeSDbFfD3GBExm3vnaOZKMwgtCV4RgvX1prl5etytKM6glpgrJU5QoaUinHIupKTsFF3OjdDkHBUxvuNcNZWM1hfIrI9pGiB5U6YAzmWN_jBCOgZb2q_MTPLTWLYQbVdm8zL49FZ9QrJhgLGE_jCFTIbSTeE_wvQQo88Ofpev0JmDPtpi1gV6vbvdNQ_V9vl-06y3lSEcp0phDcwo3IKtOwCsmJVOMmu5FrXCVGDp8mnUsU7UebLttONta4gDpgmRbIGWf7neWrv_CH6A8L2f_8J-ACyWWTk</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Xuepeng Feng</creator><creator>Xiaohong Huang</creator><creator>Xu Tian</creator><creator>Yan Ma</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201010</creationdate><title>Automatic traffic signature extraction based on Smith-waterman algorithm for traffic classification</title><author>Xuepeng Feng ; Xiaohong Huang ; Xu Tian ; Yan Ma</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c140t-809a3c80bae5daa083e7f73ee4965802607f9782f3d65a3cbd9f4bbc1fa391173</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>automatic signature generation</topic><topic>deep packet inspection</topic><topic>Electronic publishing</topic><topic>Information services</topic><topic>Inspection</topic><topic>Internet</topic><topic>Laser applications</topic><topic>Nonlinear optics</topic><topic>Smith-waterman</topic><topic>Switches</topic><topic>traffic classification</topic><toplevel>online_resources</toplevel><creatorcontrib>Xuepeng Feng</creatorcontrib><creatorcontrib>Xiaohong Huang</creatorcontrib><creatorcontrib>Xu Tian</creatorcontrib><creatorcontrib>Yan Ma</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xuepeng Feng</au><au>Xiaohong Huang</au><au>Xu Tian</au><au>Yan Ma</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Automatic traffic signature extraction based on Smith-waterman algorithm for traffic classification</atitle><btitle>2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT)</btitle><stitle>ICBNMT</stitle><date>2010-10</date><risdate>2010</risdate><spage>154</spage><epage>158</epage><pages>154-158</pages><isbn>1424467691</isbn><isbn>9781424467693</isbn><eisbn>9781424467723</eisbn><eisbn>1424467713</eisbn><eisbn>1424467721</eisbn><eisbn>9781424467716</eisbn><abstract>Nowadays, more and more applications use proprietary protocols, which make it difficult to identify them by using predefined well-known ports. Among all the mechanisms to identify and classify network traffic, the deep packet inspection (DPI)[1] is the most widely used method. In order to make the identification more accuracy, we should build a good set of application protocol signatures, however, it is a very time consuming task and demands a high expertise. This paper proposes an automatic traffic signature generation approach based on Smith-waterman algorithm, which is widely used for determining similar regions between two nucleotide or protein sequences. Our results show that it is a very accurate and quick approach compared to the approach that uses preceding application protocol analysis.</abstract><pub>IEEE</pub><doi>10.1109/ICBNMT.2010.5704886</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 1424467691 |
| ispartof | 2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT), 2010, p.154-158 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_5704886 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | automatic signature generation deep packet inspection Electronic publishing Information services Inspection Internet Laser applications Nonlinear optics Smith-waterman Switches traffic classification |
| title | Automatic traffic signature extraction based on Smith-waterman algorithm for traffic classification |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T23%3A17%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Automatic%20traffic%20signature%20extraction%20based%20on%20Smith-waterman%20algorithm%20for%20traffic%20classification&rft.btitle=2010%203rd%20IEEE%20International%20Conference%20on%20Broadband%20Network%20and%20Multimedia%20Technology%20(IC-BNMT)&rft.au=Xuepeng%20Feng&rft.date=2010-10&rft.spage=154&rft.epage=158&rft.pages=154-158&rft.isbn=1424467691&rft.isbn_list=9781424467693&rft_id=info:doi/10.1109/ICBNMT.2010.5704886&rft_dat=%3Cieee_6IE%3E5704886%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424467723&rft.eisbn_list=1424467713&rft.eisbn_list=1424467721&rft.eisbn_list=9781424467716&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5704886&rfr_iscdi=true |