A novel hybrid KPCA and SVM with GA model for intrusion detection

Applied Soft Computing Journal

Volumn 18, Issue , 2014, Pages 178-184

  Kuang, Fangjun ^a,b   Xu, Weihong ^a,c   Zhang, Siyang ^b  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Hunan Vocational Institute of Safety and Technology   (China)

^c CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Genetic algorithm; Intrusion detection; Kernel function; Kernel principal component analysis; Support vector machines

Indexed keywords

INTRUSION DETECTION; SUPPORT VECTOR MACHINES;

KERNEL FUNCTION; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA);

GENETIC ALGORITHMS;

EID: 84894281761     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2014.01.028     Document Type: Article

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