Synthesized evaluation method for network safety based on Ga-Svc

Hai-Sheng Song

doi:10.1117/12.2014147

13 March 2013 Synthesized evaluation method for network safety based on Ga-Svc

Hai-Sheng Song

Proceedings Volume 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies; 87841Q (2013) https://doi.org/10.1117/12.2014147
Event: Fifth International Conference on Machine Vision (ICMV 12), 2012, Wuhan, China

Abstract

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.

Citation Download Citation

Hai-Sheng Song "Synthesized evaluation method for network safety based on Ga-Svc", Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 87841Q (13 March 2013); https://doi.org/10.1117/12.2014147

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