Abstract
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.
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Cabaj, K., Szczypiorski, K., Becker, S. (2010). Towards Self-defending Mechanisms Using Data Mining in the EFIPSANS Framework. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A. (eds) Advances in Multimedia and Network Information System Technologies. Advances in Intelligent and Soft Computing, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14989-4_14
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DOI: https://doi.org/10.1007/978-3-642-14989-4_14
Publisher Name: Springer, Berlin, Heidelberg
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