Research on the Application of Neural Networks to the Security and Risk Assessment of Information

@article{Wang2012ResearchOT,
  title={Research on the Application of Neural Networks to the Security and Risk Assessment of Information},
  author={Kai Wang},
  journal={International Journal of Digital Content Technology and Its Applications},
  year={2012},
  volume={6},
  pages={132-140}
}
  • Kai Wang
  • Published 31 May 2012
  • Computer Science
  • International Journal of Digital Content Technology and Its Applications
It has limitations to apply the traditional mathematical model to assess the risk of the information security for it is characterized by its nonlinearity and uncertainty. The RBF Neural Networks Theory, Particle Swarm Optimization (PSO) Analysis and Fuzzy Evaluation are combined to build a particle swarm optimizing model of Information Security Risk Assessment based on RBF Neural Networks, so as to improve the performance of the security and risk assessment. First, quantify the factors of the… 

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