CHEN Yaoyao.Multi-Level Collaborative Protection System for Meteorological Information Infrastructure in Air Traffic Control[J].Journal of Chengdu University of Information Technology,2025,40(06):794-798.[doi:10.16836/j.cnki.jcuit.2025.06.008]
空管气象信息基础设施的多层级协同防护体系
- Title:
- Multi-Level Collaborative Protection System for Meteorological Information Infrastructure in Air Traffic Control
- 文章编号:
- 2096-1618(2025)06-0794-05
- Keywords:
- air traffic control meteorology; information infrastructure; multi-layer collaborative protection; network security
- 分类号:
- TP309
- 文献标志码:
- A
- 摘要:
- 空管气象信息基础设施作为航空安全的核心支撑,面临日益复杂的网络攻击与物理安全威胁,因此提出一种多层级协同防护体系,通过技术防护、物理保障与管理控制的深度融合,构建全方位的安全防御机制。在技术层面,采用“横向分层、纵向分区”的模块化架构,整合威胁检测、数据加密与灾备恢复能力,实现跨层级信息共享与联动响应; 物理层面通过设备冗余设计、环境安全防护提升系统可靠性; 管理层面依托标准化协议、权限控制与多部门协同机制,优化安全运维流程。该体系有望整体提升威胁检测覆盖率与应急响应效率,降低人为操作失误与单点故障风险,为空管气象基础设施提供可持续的防护能力。
- Abstract:
- The meteorological information infrastructure in air traffic control, as a core support of aviation safety, faces increasingly complex network attacks and physical security threats. This paper proposes a multi-layered collaborative protection system that integrates technical protection, physical security, and management control to build a comprehensive security defense mechanism. In terms of technology, a modular architecture of “horizontal layering and vertical partitioning” is adopted to integrate threat detection, data encryption, and disaster recovery capabilities, achieving cross-level information sharing and coordinated response; In terms of physics, system reliability is improved through device redundancy design and environmental security protection; In terms of management, relying on standardized protocols, permission control, and multi-departmental collaboration mechanisms, optimize the security operation and maintenance process. This system is expected to improve the overall coverage of threat detection and emergency response efficiency, reduce the risk of human operation errors and single point failures, and provide sustainable protection capabilities for meteorological information infrastructure in air traffic control.
参考文献/References:
[1] 王冠雄.空管气象信息系统安全与防护措施分析[J].现代信息科技,2018,2(6):160-164.
[2] Elmarady A A,Rahouma K.Studying Cybersecurity in Civil Aviation,Including Developing and Applying Aviation Cybersecurity Risk Assessment[J].IEEE Access,2021,9:143997-144016.
[3](·overZ)migrodzka M.Cybersecurity—One of the Greatest Challenges for Civil Aviation in the 21st Century[J].Safety & Defense,2020,6(2):33-41.
[4] 马立鑫,薛占双, 刘海燕.DDoS攻击的发展与检测技术研究[J].现代计算机,2024,30(20):52-56.
[5] 陈章芬,黄海.机关事业单位自建局域网安全防护体系的设计与实践[J].网络安全技术与应用,2025(5):102-105.
[6] 王梓,王治华,韩勇,等.面向电力系统网络安全的多层协同防御模型研究[J].计算机工程,2021,47(12):131-140.
[7] 张国晶.浅谈气象信息网络安全建设[J].电子世界,2020(15):34-36.
[8] 王红岩.大数据技术的计算机网络信息安全防护对策[J].中国宽带,2025,21(3):52-54.
[9] 王艺洁.“互联网+”背景下的计算机网络信息安全防护研究[J].家电维修,2025(5):77-79.
[10] 杨乐.民航空管信息系统网络安全态势感知与分析[J].管理科学与工程,2022,11(4):665-671.
[11] 中华人民共和国工业和信息化部.数据中心设计规范[S].2017:GB 50174-2017.
[12] 中国民航局.民用航空生产运行工业控制系统网络安全防护技术要求[S].2023:MH/T 3035-2023.
备注/Memo
收稿日期:2025-06-30