In the study, support vector machine optimized by genetic algorithm is applied to evaluate network safety. As the parameters in the support vector machine have a great influence on its evaluation ability. Genetic algorithm is applied to select the optimal combination of the parameters of support vector machine. The evaluation accuracy of GA-SVC is 100% after the testing experiments. The experimental results indicate that SVM has high evaluation accuracy in the evaluation of network safety.

Date Published: 13 March 2013
PDF: 4 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87841Q (13 March 2013); doi: 10.1117/12.2014147

Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)