物联网技术下电网标识信息未授权窃取风险预测  

Predicting the Risk of Unauthorized Theft of Grid Identification Information Under IoT Technology

作　　者：吕华辉[1] 杨航[1] 林志达[1] 李慧娟 付志博 LV Huahui;YANG Hang;LIN Zhida;LI Huijuan;FU Zhibo(China Southern Power Grid Co.,Ltd.,Guangzhou 510700,China;China Southern Power Grid Digital Grid Research Institute,Guangzhou 510700,China)

机构地区：[1]中国南方电网有限责任公司,广东广州510700 [2]南方电网数字电网研究院,广东广州510700

出　　处：《中国电力》2024年第12期206-212,共7页Electric Power

基　　金：国家自然科学基金资助项目(51437006;61663032)。

摘　　要：电网领域通常具有复杂的网络拓扑结构。为了降低电网安全风险,提出物联网技术下电网标识信息未授权窃取风险预测方法。通过物联网技术和漏洞扫描工具,量化电网标识信息未授权窃取的风险,并考虑不同漏洞的严重性,采用模糊层次分析法进行分险评估。研究结果表明:所提方法预测误差数值较小,设备认证强度高。The power grid field usually has a complex network topology.In order to reduce the power grid security risks,this paper proposes a risk prediction method unauthorized theft of power grid identity information under the Internet of Things technology.By using the Internet of Things technology and vulnerability scanning tools,the risk of unauthorized theft of grid identity information is quantified,and the severity of different vulnerabilities is considered,using the fuzzy hierarchical analysis method for risk assessment.The research results show that prediction error of the proposed method is small,and the device authentication strength is high.

关 键 词：物联网技术 电网标识信息 隐私泄露 安全漏洞 

分 类 号：TN929.5[电子电信—通信与信息系统] TM73[电子电信—信息与通信工程] TP393[电气工程—电力系统及自动化]