Dynamic Modeling of Internet Traffic for Intrusion Detection

Computer network traffic is analyzed via mutual information techniques, implemented using linear and nonlinear canonical correlation analyses, with the specific objective of detecting UDP flooding attacks. NS simulation of HTTP, FTP, and CBR traffic shows that flooding attacks are accompanied by a c...

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Bibliographic Details
Published inEURASIP journal on advances in signal processing Vol. 2007; no. 1; p. 090312
Main Authors Jonckheere Edmond, Bohacek Stephan, Shah Khushboo
Format Journal Article
LanguageEnglish
Published SpringerOpen 01.01.2007
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Summary:Computer network traffic is analyzed via mutual information techniques, implemented using linear and nonlinear canonical correlation analyses, with the specific objective of detecting UDP flooding attacks. NS simulation of HTTP, FTP, and CBR traffic shows that flooding attacks are accompanied by a change of mutual information, either at the link being flooded or at another upstream or downstream link. This observation appears to be topology independent, as the technique is demonstrated on the so-called parking-lot topology, random 50-node topology, and 100-node transit-stub topology. This technique is also employed to detect UDP flooding with low false alarm rate on a backbone link. These results indicate that a change in mutual information provides a useful detection criterion when no other signature of the attack is available.
ISSN:1687-6172
1687-6180