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Effect of DDoS attacks on traffic features
Distributed denial of service attacks pose an immense threat to the internet. In this work the effect of TCP SYN flood attacks on traffic features are examined. Using traffic features and correlation coefficient matrix and anomaly vector obtained from these features; a network health function is cal...
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creator | Erhan, D. Anarim, E. Kurt, G. K. Kosar, R. |
description | Distributed denial of service attacks pose an immense threat to the internet. In this work the effect of TCP SYN flood attacks on traffic features are examined. Using traffic features and correlation coefficient matrix and anomaly vector obtained from these features; a network health function is calculated. Applying a threshold to network health function gives alarms that are used to detect beginning and end points of TCP SYN flood attacks. This method is tested using data obtained from experiments of DETER testbed. |
doi_str_mv | 10.1109/SIU.2013.6531420 |
format | conference_proceeding |
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This method is tested using data obtained from experiments of DETER testbed.</description><subject>Communities</subject><subject>Computer crime</subject><subject>Conferences</subject><subject>DDoS</subject><subject>denial of service</subject><subject>Electronic mail</subject><subject>Intrusion detection</subject><subject>IP networks</subject><subject>signal processing</subject><subject>Taxonomy</subject><isbn>9781467355629</isbn><isbn>1467355623</isbn><isbn>9781467355636</isbn><isbn>1467355631</isbn><isbn>1467355615</isbn><isbn>9781467355612</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVT01LxDAUjIigrL0LXnIWWt_LS16bo-yuurDgYd3zEtMXqF-VJh789xbci6dhmA9mlLpCaBDB3-42-8YAUsOO0Bo4UZVvO7TcknNMfPqPG3-uqpxfAWBOs-_4Qt2sU5JY9Jj0ajXudCglxLesx09dppDSEHWSUL4nyZfqLIX3LNURF2p_v35ePtbbp4fN8m5bDwiu1CkY17KThJaC-L4jMBY6zymSp56it7PsZg8Kt4AvHH2MNsz7erY20EJd__UOInL4moaPMP0cjg_pF0OkQPI</recordid><startdate>201304</startdate><enddate>201304</enddate><creator>Erhan, D.</creator><creator>Anarim, E.</creator><creator>Kurt, G. 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K.</creatorcontrib><creatorcontrib>Kosar, R.</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>Erhan, D.</au><au>Anarim, E.</au><au>Kurt, G. K.</au><au>Kosar, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Effect of DDoS attacks on traffic features</atitle><btitle>2013 21st Signal Processing and Communications Applications Conference (SIU)</btitle><stitle>SIU</stitle><date>2013-04</date><risdate>2013</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><isbn>9781467355629</isbn><isbn>1467355623</isbn><eisbn>9781467355636</eisbn><eisbn>1467355631</eisbn><eisbn>1467355615</eisbn><eisbn>9781467355612</eisbn><abstract>Distributed denial of service attacks pose an immense threat to the internet. In this work the effect of TCP SYN flood attacks on traffic features are examined. Using traffic features and correlation coefficient matrix and anomaly vector obtained from these features; a network health function is calculated. Applying a threshold to network health function gives alarms that are used to detect beginning and end points of TCP SYN flood attacks. 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language | eng ; tur |
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subjects | Communities Computer crime Conferences DDoS denial of service Electronic mail Intrusion detection IP networks signal processing Taxonomy |
title | Effect of DDoS attacks on traffic features |
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