浅议民航气象关键信息基础设施安全保护
A Preliminary Study on Safeguarding Critical Information Infrastructure of Civil Aviation Meteorology
摘要: 民航气象关键信息基础设施(CII)是保障国家空天安全和航班运行的核心载体。本研究针对其面临的老旧设备入网风险、数据安全威胁及业务连续性挑战,通过政策文本分析、标准逆向解构与事故案例挖掘,构建首套民航气象专属防护体系。创新提出“四横一纵”韧性防御框架(战略治理、风险管理、技术防护、运行保障四层架构与纵深防御轴),实现风险驱动的动态防护。核心措施包括:建立气象数据多级防护机制,制定《民航气象数据分类分级指南》;部署国密算法加密敏感数据;设计“3-2-1”应急备份策略;构建业务流–威胁映射模型。实施路径强调责任具象化(AB角配置、KPI一票否决)、监管协同化(双随机渗透测试)及能力轻量化(微解决方案库)。成果为民航强国建设提供安全基线支撑,助推“四强空管”神经中枢融合。
Abstract: Civil aviation meteorological Critical Information Infrastructure (CII) serves as the cornerstone of national airspace security and flight operations. Confronting legacy equipment networking risks, data security threats, and operational continuity challenges, this study constructs the first dedicated protection framework for aviation meteorology through policy analysis, standard deconstruction, and accident jurisprudence mining. The innovative “Four Horizontal Layers and One Vertical Axis” resilience model integrates strategic governance, risk management, technical fortification, and operational assurance with deep defense capabilities. Key solutions include: establishing a multi-level data protection mechanism with Civil Aviation Meteorological Data Classification Guidelines, applying cryptographic algorithms (e.g., SM4) for sensitive data encryption, designing a “3-2-1” emergency backup strategy, and developing service-flow-threat mapping. Implementation advocates responsibility embodiment (AB-post configuration, KPI veto), regulatory collaboration (randomized penetration testing), and lightweight capacity building (scenario-based micro-solutions). This framework underpins China’s aviation power strategy and advances the integration of meteorological security into the “Four Strengths Air Traffic Management” neural hub.
参考文献
|
[1]
|
中华人民共和国网络安全法[EB/OL]. https://www.cac.gov.cn/2025-12/29/c_1768735112911946.htm, 2016-11-07.
|
|
[2]
|
关键信息基础设施安全保护条例[EB/OL]. https://www.gov.cn/gongbao/content/2021/content_5636138.htm, 2021-07-30.
|
|
[3]
|
中国民用航空局. 民航安全事件统计分析报告(2019-2023年) [R]. 北京: 中国民航出版社, 2023.
|
|
[4]
|
National Institute of Standards and Technology (2018) Framework for Improving Critical Infrastructure Cybersecurity (Version 1.1). National Institute of Standards and Technology.
|
|
[5]
|
International Civil Aviation Organization (2023) Annex 3: Meteorological Service for International Air Navigation (20th Edition). ICAO Publishing.
|
|
[6]
|
Federal Aviation Administration (2021) Aviation Weather Information Security Best Practices. Federal Aviation Administration.
|
|
[7]
|
王永刚, 吕学梅. 民航事故征候的关联度分析和灰色模型预测[J]. 安全与环境学报, 2006, 6(6): 127-130.
|
|
[8]
|
岳仁田, 赵嶷飞. 基于HFACS的民航气象诱发不安全事件致因分析[J]. 中国安全科学学报, 2022, 32(7): 142-149.
|
|
[9]
|
中国民用航空局. CAAC-MD-2020-01 民用航空信息系统安全保护等级定级指南[C]//民航行业标准汇编. 北京: 中国民航出版社, 2020: 15-28.
|
|
[10]
|
全国信息安全标准化技术委员会. GB/T 22239-2019信息安全技术 网络安全等级保护基本要求[S]. 北京: 中国标准出版社, 2019.
|
|
[11]
|
中华人民共和国数据安全法[EB/OL]. https://www.cac.gov.cn/2021-06/11/c_1624994566919140.htm, 2021-06-10.
|
|
[12]
|
王明清, 张爱英, 等. 计算机网络安全风险与防范策略分析[J]. 网络安全技术与应用, 2023(2): 159-161.
|
|
[13]
|
庞彬彬. 民航机场关键信息基础设施网络安全保障体系研究[J]. 网络安全与数据治理, 2022, 41(12): 25‑33.
|
|
[14]
|
杨乐, 朱国栋, 陈福康. 基于网络安全域的民航气象信息服务系统设计[J]. 民航管理, 2019(6): 72‑74.
|
|
[15]
|
国家气象信息中心. 气象大数据分类分级白皮书(2023版) [R]. 北京: 气象出版社, 2023.
|
|
[16]
|
国家密码管理局. GM/T 0002-2012 SM4分组密码算法[S]. 北京: 中国标准出版社, 2012.
|
|
[17]
|
于佳佳, 王亮. 零信任架构在空管办公网络的应用研究与实践[J]. 成都信息工程大学学报, 2025, 40(6): 787‑793.
|
|
[18]
|
Preston, W. (2007) Backup & Recovery: Inexpensive Backup Solutions for Open Systems. O’Reilly Media, 73-75.
|