Reference : An Approach to Intrusion Detection by Means of Idiotypic Networks Paradigm
Scientific congresses, symposiums and conference proceedings : Paper published in a journal
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/23744
An Approach to Intrusion Detection by Means of Idiotypic Networks Paradigm
English
Ostaszewski, Marek mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Seredynski, Franciszek mailto [> >]
2008
IEEE World Congress on Computational Intelligence, WCCI 2008, Congress on Evolutionary Computation CEC 2008, Honk-Kong, June
IEEE Computer Society
Yes
Yes
International
978-1-4244-1822-0
978-1-4244-1823-7
IEEE World Congress on Computational Intelligence, WCCI 2008, Congress on Evolutionary Computation CEC 2008, Honk-Kong, June
June 2008
[en] intrusion detection ; artificial immune systems ; metaheuristics
[en] In this paper we present a novel intrusion detection architecture based on Idiotypic Network Theory (INIDS), that aims at dealing with large scale network attacks featuring variable properties, like Denial of Service (DoS). The proposed architecture performs dynamic and adaptive clustering of the network traffic for taking fast and effective countermeasures against such high-volume attacks. INIDS is evaluated on the MITpsila99 dataset and outperforms previous approaches for DoS detection applied to this set.
Researchers
http://hdl.handle.net/10993/23744
10.1109/CEC.2008.4631077

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