A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in Named Data Networking

Named Data Networking (NDN) is a promising network architecture being considered as a possible replacement for the current IP-based (host-centric) Internet infrastructure. NDN can overcome the fundamental limitations of the current Internet, in particular, Denial-of-Service (DoS) attacks. However, N...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 151; s. 1262 - 1282
Hlavní autori:	Karami, Amin, Guerrero-Zapata, Manel
Médium:	Journal Article Publikácia
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 03.03.2015
Predmet:	Adaptive algorithms Algorismes genètics Algorithms Arquitectura de computadors Computer networks Computer simulation Denial of service attacks DoS attacks Genetic algorithms Hybrid systems Informàtica Intelligent hybrid algorithm Internet Mesures de seguretat Named Data Networking Networks Neural networks NSGA II Ordinadors, Xarxes d Particle Swarm Optimization RBF neural networks Security measures Àrees temàtiques de la UPC DoS attacks RBF neural networks Intelligent hybrid algorithm Particle Swarm Optimization Named Data Networking NSGA II
ISSN:	0925-2312, 1872-8286
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