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Multiobjective Classification with moGEP: An Application in the Network Traffic Domain
Ostaszewski, Marek; Bouvry, Pascal; Seredynski, Franciszek
2009In GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, p. 635–642
Peer reviewed
 

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Keywords :
Denial of Service; gene expression programming; multi-objective optimization
Abstract :
[en] The paper proposes a multiobjective approach to the problem of malicious network traffic classification, with specificity and sensitivity criteria as objective functions for the problem. The multiobjective version of Gene Expression Programming (GEP) called moGEP is proposed and applied to find proper classifiers in the multiobjective search space. The purpose of the classifiers is to discriminate information about the network traffic obtained from Idiotypic Network-based Intrusion Detection System (INIDS), transformed into time series. The proposed approach is validated using the network traffic simulator ns2. Classifiers of high accuracy are obtained and their diversity offers interesting possibilities to the domain of network security.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2009-826
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 of Computer Sciences
Language :
English
Title :
Multiobjective Classification with moGEP: An Application in the Network Traffic Domain
Publication date :
2009
Event name :
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Event place :
Montreal, QC, Canada
Event date :
2009
Audience :
International
Journal title :
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Publisher :
ACM
Pages :
635–642
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 03 July 2013

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