A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks

In Content-Centric Networks (CCNs) as a possible future Internet, new kinds of attacks and security challenges – from Denial of Service (DoS) to privacy attacks – will arise. An efficient and effective security mechanism is required to secure content and defense against unknown and new forms of atta...

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Bibliographic Details
Published in:	Neurocomputing (Amsterdam) Vol. 149; pp. 1253 - 1269
Main Authors:	Karami, Amin, Guerrero-Zapata, Manel
Format:	Journal Article Publication
Language:	English
Published:	Elsevier B.V 03.02.2015
Subjects:	Algorithms Anomalies Anomaly detection Clustering analysis Clusters Content-centric networks Enginyeria de la telecomunicació Fuzzy Fuzzy logic Fuzzy set Fuzzy set theory Internet K-means Mesures de seguretat Networks Optimization Particle swarm optimization Particle swarm optimization K-means Security Security measures Telemàtica i xarxes d'ordinadors Àrees temàtiques de la UPC K-means Clustering analysis Fuzzy set Particle swarm optimization Anomaly detection Content-centric networks
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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