Title :
An approach to intrusion detection by means of idiotypic networks paradigm
Author :
Ostaszewski, Marek ; Bouvry, Pascal ; Seredynski, Franciszek
Author_Institution :
Technol. & Commun., Luxembourg Univ., Luxembourg City
Abstract :
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.
Keywords :
computer network management; pattern clustering; security of data; telecommunication security; adaptive clustering; denial of service; dynamic clustering; idiotypic network theory; idiotypic networks paradigm; intrusion detection architecture; large scale network attacks; network traffic; Computer crashes; Computer crime; Computer networks; Databases; Floods; Information resources; Intrusion detection; Pattern analysis; Pattern recognition; Telecommunication traffic;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4631077
