Research on the Construction of Information Security Risk Assessment Model and Index System Based on Improved Neural Network
The traditional neural network is improved,and then the information security risk as-sessment model is established.Combined with the existing fusion neural network,the risk assessment prediction model is constructed.The experimental results show that when the population size is greater than 60 and the maximum number of iterations is more than 30,the accuracy of the algorithm is no lon-ger significantly improved,and it is more efficient than the traditional method.Simulation results show that the prediction error of the improved algorithm is less than 1%,which verifies its effectiveness.The accuracy of the improved algorithm is more than 90%,which is obviously better than other algorithms,proving its applicability and stability.
information securityindicator systemCuckoo search algorithmneural network