Fractal dimension analysis for data stream isolation
A network tap [ 120/220 ] monitors traffic transmissions in a network [ 100/200 ]. The tap records transmission time information [ 501 ] between data transmitted in the network. From the transmission time information, the tap calculates differences in transmission times [ 500 ], and assumes the diff...
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creator | COUSINS DAVID B FORTIN CHRISTOPHER S |
description | A network tap [ 120/220 ] monitors traffic transmissions in a network [ 100/200 ]. The tap records transmission time information [ 501 ] between data transmitted in the network. From the transmission time information, the tap calculates differences in transmission times [ 500 ], and assumes the differences in transmission times are distributed as fractional gaussian noise. Housdorff dimensions are calculated for the fractional gaussian noise distributions. The Housdorff dimensions are used to generate traffic analysis information for the network, even when the data transmitted on the network is encrypted. |
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The tap records transmission time information [ 501 ] between data transmitted in the network. From the transmission time information, the tap calculates differences in transmission times [ 500 ], and assumes the differences in transmission times are distributed as fractional gaussian noise. Housdorff dimensions are calculated for the fractional gaussian noise distributions. The Housdorff dimensions are used to generate traffic analysis information for the network, even when the data transmitted on the network is encrypted.</description><language>eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><creationdate>2007</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20071016&DB=EPODOC&CC=US&NR=7283475B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20071016&DB=EPODOC&CC=US&NR=7283475B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>COUSINS DAVID B</creatorcontrib><creatorcontrib>FORTIN CHRISTOPHER S</creatorcontrib><title>Fractal dimension analysis for data stream isolation</title><description>A network tap [ 120/220 ] monitors traffic transmissions in a network [ 100/200 ]. The tap records transmission time information [ 501 ] between data transmitted in the network. From the transmission time information, the tap calculates differences in transmission times [ 500 ], and assumes the differences in transmission times are distributed as fractional gaussian noise. Housdorff dimensions are calculated for the fractional gaussian noise distributions. The Housdorff dimensions are used to generate traffic analysis information for the network, even when the data transmitted on the network is encrypted.</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2007</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDBxK0pMLknMUUjJzE3NK87Mz1NIzEvMqSzOLFZIyy9SSEksSVQoLilKTcxVyCzOz0ksASrhYWBNS8wpTuWF0twMCm6uIc4euqkF-fGpxQWJyal5qSXxocHmRhbGJuamTkbGRCgBAPfDLNs</recordid><startdate>20071016</startdate><enddate>20071016</enddate><creator>COUSINS DAVID B</creator><creator>FORTIN CHRISTOPHER S</creator><scope>EVB</scope></search><sort><creationdate>20071016</creationdate><title>Fractal dimension analysis for data stream isolation</title><author>COUSINS DAVID B ; FORTIN CHRISTOPHER S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US7283475B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2007</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>COUSINS DAVID B</creatorcontrib><creatorcontrib>FORTIN CHRISTOPHER S</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>COUSINS DAVID B</au><au>FORTIN CHRISTOPHER S</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Fractal dimension analysis for data stream isolation</title><date>2007-10-16</date><risdate>2007</risdate><abstract>A network tap [ 120/220 ] monitors traffic transmissions in a network [ 100/200 ]. The tap records transmission time information [ 501 ] between data transmitted in the network. From the transmission time information, the tap calculates differences in transmission times [ 500 ], and assumes the differences in transmission times are distributed as fractional gaussian noise. Housdorff dimensions are calculated for the fractional gaussian noise distributions. The Housdorff dimensions are used to generate traffic analysis information for the network, even when the data transmitted on the network is encrypted.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
title | Fractal dimension analysis for data stream isolation |
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