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.
关键词
网络态势/深度学习网络/长短时记忆/遗传算法/评估预测
Key words
network situation/deep learning network/LSTM/genetic algorithm/assessment and prediction
维普
万方数据