基于LSTM-DT模型的网络安全态势预测算法研究

Research on Network Security Situation Prediction Algorithm Based on LSTM-DT Model

为进一步探究网络安全态势预测算法的优化改进路径,提升网络安全态势预测水平,整合研究长短期记忆(Long Short Term Memory,LSTM)和数据技术(Data Technology,DT)两种算法模型。首先分析算法的理论模型和设计流程;其次讨论算法模型的实际应用;最后引入补充数据集,详细探讨算法模型的综合性能。结果表明,基于LSTM-DT模型的网络安全态势预测算法表现优异,有望在后续工作中逐步推广。

In order to further explore the optimization and improvement path of network security situation prediction algorithm and improve the level of network security situation prediction, in this study, based on Long Short Term Memory(LSTM) and Data Technology(DT)two algorithm models, the integrated research. First, analyze the theoretical model and design process of the algorithm;then discuss the practical application of the algorithm model;Finally, introduce the supplementary data set to discuss the comprehensive performance of the algorithm model in detail. The results show that the network security situation prediction algorithm based on LSTM-DT model has relatively excellent performance and is expected to be gradually promoted and applied in the subsequent work.