The information security risk assessment model based on GA - BP

Abstract

In the research of information security information security issues, many factors can cause the system to insecurity. In order to improve the accuracy of the risk assessment of information security, information security risk assessment model based on GA (genetic algorithm) and BP neural network is proposed. Using genetic algorithm to optimize the weights and thresholds of BP neural network to establish an information security risk assessment model, and using MATLAB to simulate, predict the value of risk. The simulation results show that GA-BP, compared with the standard BP neural network, with lower simulation error and better fitting effect, is a good information security risk assessment model.