Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (11): 2908-2915.doi: 10.23940/ijpe.19.11.p9.29082915

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Information Security Evaluation based on Artificial Neural Network

Rong Li*, Bing Tian, Yan Li, and Yansheng Qu   

  1. State Grid Shandong Electric Power Company, Jinan, 250021, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: * E-mail address:

Abstract: In order to improve the information security ability of the network information platform, an information security evaluation method is proposed based on artificial neural networks. Based on the comprehensive analysis of the security events in the construction of the network information platform, the risk assessment model of the network information platform is constructed based on the artificial neural network theory. The weight calculation algorithm of artificial neural networks and the minimum artificial neural network pruning algorithm are also given, which can realize the quantitative evaluation of network information security. The fuzzy neural network weighted control method is used to control the information security, and the non-recursive traversal method is adopted to realize the adaptive training of the information security assessment process. The adaptive learning of the artificial neural network is carried out according, and the ability of information encryption and transmission is improved. The information security assessment is realized. The simulation results show that the method is accurate, and the information security is ensured.

Key words: artificial neural network, information security, evaluation, information encryption