铁路5G移动通信系统边缘计算安全研究

边缘计算作为智能铁路5G网络的关键技术，将数据缓存能力、流量转发能力与应用服务能力下沉到网络边缘，有效契合智能铁路的低时延、大带宽、海量连接需求，以支持智能轨道交通应用。然而，由于其在物理位置、业务类型等多方面发生了变化，且铁路场景外部环境复杂、高度动态性、可信度低，使智能铁路业务的边缘节点面临新的安全挑战。结合5G边缘计算安全的研究现状，基于终端、边缘网络、边缘节点和边缘应用四个方面分析铁路5G边缘计算面临的安全威胁，在细化安全需求和挑战、标准进展的基础上，综述和总结可适用于铁路MEC安全的研究方法和评价指标，结合铁路5G边缘计算特点，提出铁路MEC端到端安全服务方案和未来智能铁路MEC安全研究的发展方向。

Research on Edge Computing Security of Railway 5G Mobile Communication System

Edge computing, as a key technology of the intelligent railway 5G network, it sinks data caching capabilities, traffic forwarding capabilities and application service capabilities to the edge of the network, effectively meets the low latency, large bandwidth, and massive connection requirements of intelligent railways to support intelligent rail transit application. However, due to it changes in physical location, business types and other aspects, and the complex external environment of the railway scene, highly dynamic, and low credibility, the edge nodes of the intelligent railway business are faced with new security challenges. Combined with the current research status of 5G edge computing security, the security threats faced by railway 5G edge computing are analyzed based on the analysis of the four aspects of terminal, edge network, edge node and edge application. On the basis of detailed security requirements and challenges, and standard progress, the research methods and evaluation indicators are summarized that can be applied to railway MEC safety. Combined with the characteristics of railway 5G edge computing, this paper proposes railway MEC end-to-end safety service solutions and the development direction of future intelligent railway MEC security research.