Paper published in a journal (Scientific congresses, symposiums and conference proceedings)
Adaptive and Dynamic Intrusion Detection by Means of Idiotypic Networks Paradigm
Ostaszewski, Marek; Bouvry, Pascal; Seredynski, Franciszek
2008In The 21th IEEE International Parallel and Distributed Processing Symposium (IPDPS), NIDISC Workshop., p. 1–8
Peer reviewed
 

Files


Full Text
camera_ready_nidisc08.pdf
Author preprint (478.6 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Intrusion detection; Artificial Immune Systems
Abstract :
[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 MIT'99 dataset and outperforms previous approaches for DoS detection applied to this set.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2009-293
Author, co-author :
Ostaszewski, Marek  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Seredynski, Franciszek;  Polish Academy of Sciences > Institute for Computer Sciences
Language :
English
Title :
Adaptive and Dynamic Intrusion Detection by Means of Idiotypic Networks Paradigm
Publication date :
2008
Event name :
The 21th IEEE International Parallel and Distributed Processing Symposium (IPDPS), NIDISC Workshop.
Event date :
April 2008
Audience :
International
Journal title :
The 21th IEEE International Parallel and Distributed Processing Symposium (IPDPS), NIDISC Workshop.
Publisher :
IEEE Computer Society
Pages :
1–8
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 03 July 2013

Statistics


Number of views
108 (0 by Unilu)
Number of downloads
0 (0 by Unilu)

Scopus citations®
 
0
Scopus citations®
without self-citations
0
WoS citations
 
0

Bibliography


Similar publications



Contact ORBilu