Advances in Multimedia and Network Information System Technologies

Volume 80 of the series Advances in Intelligent and Soft Computing pp 143-151

Towards Self-defending Mechanisms Using Data Mining in the EFIPSANS Framework

  • Krzysztof CabajAffiliated withWarsaw University of Technology
  • , Krzysztof SzczypiorskiAffiliated withWarsaw University of Technology
  • , Sheila BeckerAffiliated withUniversity of Luxembourg

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In currently used networks there are no self-protection or autonomous defending mechanisms. This situation leads to the spread of self-propagating malware, which causes even more dangerous, and significant threats i.e. Botnets. In the EFIPSANS project a new architecture that includes self-* functionalities is introduced. Self-defending functionality, using data mining approach detects and reacts to some of network threats.