Research on Network Security Situation Assessment and Prediction Model Based on the Fusion of Neural Network and Optimization Algorithm
A situation assessment model is proposed to address the issue of network security protection by combining neural net-work and optimization algorithm.It utilizes deep neural networks to construct a network situation assessment model,and con-struct a network situation prediction model through long short-term memory.The genetic algorithm is used to optimize model parameters.The results show that the average error rate of the assessment model is reduced by 3.88％comparing with the shallow neural network model.Therefore,the situation awareness model designed based on optimized deep neural networks and long short-term memory networks has good assessment and prediction performance.
network situationdeep learning networkLSTMgenetic algorithmassessment and prediction
万方数据
维普
