水利网络安全威胁感知决策指挥数智平台OA
Intelligent digital platform for water conservancy cybersecurity threat perception,decision-making,and command
水利网络安全防御体系面临威胁感知精度不足、海量告警分析效率不高、跨层级协同响应滞后等方面的突出问题.为进一步提升水利网络安全保护能力,提出一种基于生成式人工智能驱动的网络安全保护方法,采用多源异构数据融合、业务深度融合的威胁检测、安全智能体构建、基于工单流转的联防联控等关键技术,形成风险全域感知—智能研判指挥—高效协同防御的全链路安全防护机制,构建水利网络安全威胁感知决策指挥数智平台并在水利部及中国南水北调集团部署应用.实践结果表明,该平台能有效提升水利行业网络安全防护的威胁感知水平和协同防御能力.研究成果为水利行业单位网络安全建设提供参考样例.
The water conservancy cybersecurity defense system faces prominent challenges,including insufficient accuracy in threat perception,low efficiency in analyzing massive volumes of alerts,and delayed cross-level collaborative responses.To further enhance the cybersecurity protection capacity of water conservancy systems,this paper proposed a generative AI driven cybersecurity protection method.It adopted key technologies,including multi-source heterogeneous data fusion,threat detection deeply integrated with water conservancy operations,security agent construction,and joint prevention and control based on work-order circulation.A full-chain security protection mechanism featuring full-domain risk perception-intelligent analysis and command-efficient collaborative defense was established.An intelligent digital platform for water conservancy cybersecurity threat perception,decision-making,and command was developed and deployed at the Ministry of Water Resources and China South-to-North Water Diversion Group.Practical results demonstrated that the platform effectively improved threat perception and collaborative defense capabilities in water conservancy cybersecurity protection.The research outcomes provide a reference for cybersecurity development in water conservancy institutions.
陈真玄;魏方威;沈智镔;张晨奕;田永清;邹希;韩松莘
水利部信息中心,北京 100053水利部信息中心,北京 100053水利部信息中心,北京 100053深信服科技股份有限公司,广东 深圳 518055中国南水北调集团水网智慧科技有限公司,北京 100073水利部信息中心,北京 100053水利部信息中心,北京 100053
建筑与水利
水利网络安全威胁感知决策指挥生成式人工智能智能体
water conservancy cybersecuritythreat perceptiondecision-making and commandgenerative artificial intelligenceagent
《水利信息化》 2026 (4)
50-54,62,6
国家重点研发计划项目(2024YFC3213500)
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