MQPSO based on wavelet neural network for network anomaly detection

Proceedings - 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009

Volumn , Issue , 2009, Pages

  Liu, Li Li ^a   Liu, Yuan ^a  

^a JIANGNAN UNIVERSITY   (China)

Author keywords

Network anomaly detection; Network intrusion detection; Quantum behaved particle swarm optimization (QPSO); Wavelet neural network (WNN)

Indexed keywords

ANOMALY DETECTION; DATA SETS; DETECTION RATES; EXPERIMENTAL DATA; FALSE POSITIVE RATES; GLOBAL CONVERGENCE ABILITY; MULTIDIMENSIONAL VECTORS; NETWORK ANOMALY DETECTION; NETWORK INTRUSION DETECTION; NORMAL STATE; NOVEL ALGORITHM; NOVEL METHODS; PARAMETER VECTORS; QUANTUM-BEHAVED PARTICLE SWARM OPTIMIZATION; RAPID CONVERGENCE; WAVELET NEURAL NETWORKS;

CONVERGENCE OF NUMERICAL METHODS; LEARNING ALGORITHMS; MOBILE COMPUTING; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); QUANTUM THEORY; WIRELESS NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

INTRUSION DETECTION;

EID: 73149106411     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WICOM.2009.5302833     Document Type: Conference Paper

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