Network anomaly detection using RBF neural network with hybrid QPSO

Proceedings of 2008 IEEE International Conference on Networking, Sensing and Control, ICNSC

Volumn , Issue , 2008, Pages 1284-1287

  Ma, Ruhui ^a   Liu, Yuan ^a   Lin, Xing ^a   Wang, Zhang ^a  

^a JIANGNAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CIRCUIT THEORY; EVOLUTIONARY ALGORITHMS; FEEDFORWARD NEURAL NETWORKS; GRADIENT METHODS; IMAGE CLASSIFICATION; INTRUSION DETECTION; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); RADIAL BASIS FUNCTION NETWORKS;

DATA SETS; FALSE POSITIVE RATE; FAST CONVERGENCE; GRADIENT DESCENT ALGORITHMS; HIGH DETECTION RATE; HYBRID ALGORITHM; INTERNATIONAL CONFERENCES; NETWORK ANOMALY DETECTION; OPTIMIZATION ALGORITHMS; QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK;

NEURAL NETWORKS;

EID: 49249132924     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNSC.2008.4525415     Document Type: Conference Paper

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