Reference : Multiobjective Classification with moGEP: An Application in the Network Traffic Domain

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/3293

Title :	Multiobjective Classification with moGEP: An Application in the Network Traffic Domain
Language :	English
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]
Publication date :	2009
Journal title :	GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Publisher :	ACM
Pages :	635–642
Peer reviewed :	Yes
Audience :	International
Event name :	GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Event date :	2009
Event place (city) :	Montreal, QC
Event country :	Canada
Keywords :	[en] 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.
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/3293

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Limited access camera_gecco09.pdf Author postprint 988 kB Request a copy

All documents in ORBi^lu are protected by a user license.

 

University of Luxembourg Library |  Feedback |  Legal notices Site Map