融合神经网络和优化算法的网络安全态势评估及预测模型研究  

Research on Network Security Situation Evaluation and Prediction Model of Fusion Neural Network and Optimization Algorithm

作　　者：裴瑶瑶 王睿 PEI Yaoyao;WANG Rui(Henan Vocational College of Surveying and Mapping,Zhengzhou,Henan 450052,China)

机构地区：[1]河南测绘职业学院,河南郑州450052

出　　处：《自动化应用》2025年第4期262-265,共4页Automation Application

摘　　要：现代网络存在的各类脆性问题使得安全风险大大增加,网络安全评估作为预防和解决这些问题的一种重要手段被引入到了互联网领域。传统的网络安全评估方法主要基于静态分析,无法对动态过程中发生的变化进行及时准确的预测。基于此,探讨融合神经网络和优化算法的网络安全态势评估及预测模型,通过调整相关权值,实现网络运行状态的实时监测与预警。All kinds of brittle problems existing in the modern network make the security risk greatly increased,and the network security assessment,as an important means to prevent and solve these problems,has been introduced into the Internet field.The traditional network security evaluation method is mainly based on static analysis,which cannot timely and accurately predict the changes in the dynamic process.Based on this,this paper will discuss the network security situation evaluation and prediction model integrating neural network and optimization algorithm,and realize the real-time monitoring and early warning of the network operation state by adjusting the relevant weights.

关 键 词：神经网络 优化算法 网络安全态势评估 预测模型 网络安全评估 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]