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A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in named data networking

Autor
Karami, A.; Guerrero, M.
Tipus d'activitat
Article en revista
Revista
Neurocomputing
Data de publicació
2015-03-03
Volum
151, Part 3
Pàgina inicial
1262
Pàgina final
1282
DOI
https://doi.org/10.1016/j.neucom.2014.11.003 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/76836 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0925231214014775 Obrir en finestra nova
Resum
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, NDN can be subject to new type of DoS attacks namely Interest flooding attacks and content poisoning. These types of attacks exploit key architectural features of NDN. This paper presents a new intelli...
Citació
Karami, A., Guerrero, M. A hybrid multiobjective RBF-PSO method for mitigating DoS attacks in named data networking. "Neurocomputing", 03 Març 2015, p. 1262-1282.
Paraules clau
DoS attacks, Intelligent hybrid algorithm, NSGA II, Named Data Networking, Particle Swarm Optimization, RBF neural networks
Grup de recerca
CNDS - Xarxes de Computadors i Sistemes Distribuïts

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