基于大数据通信的机载网络安全模糊风险评估方法

A Fuzzy Risk Assessment Method for Airborne Network Security Based on Big Data Communication

随着大数据和通信技术的发展,机载网络安全已成为航空业关注的焦点。机载网络面临复杂的安全威胁,如非法数据访问和系统入侵,因此需要精确有效的风险评估方法。传统的风险评估方法在处理模糊和不确定信息方面存在局限,而基于大数据通信的模糊风险评估方法可提供一种更灵活、适应性更强的解决方案。文章提出一种基于大数据通信的机载网络安全模糊风险评估方法,涵盖风险分析、模糊评估模型的构建及安全模拟风险评估执行,旨在通过构建详尽的规则库和模拟环境,实现对机载网络潜在安全威胁的实时动态评估。

With the development of big data and communication technology,airborne network security has become the focus of aviation industry.Airborne network faces complex security threats,such as illegal data access and system intrusion,so it needs accurate and effective risk assessment methods.Traditional risk assessment methods have limitations in dealing with fuzzy and uncertain information,while fuzzy risk assessment method based on big data communication can provide a more flexible and adaptable solution.This paper proposes a fuzzy risk assessment method for airborne network security based on big data communication,which covers risk analysis,the construction of fuzzy assessment model and the implementation of security simulation risk assessment,aiming at realizing dynamic and realtime assessment of potential security threats of airborne network by constructing detailed rule base and simulation environment.