中国电力2024,Vol.57Issue(12) :206-212.DOI:10.11930/j.issn.1004-9649.202311075

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

吕华辉 杨航 林志达 李慧娟 付志博
中国电力2024,Vol.57Issue(12) :206-212.DOI:10.11930/j.issn.1004-9649.202311075

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

吕华辉 1杨航 1林志达 1李慧娟 2付志博2
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作者信息

  • 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
  • 折叠

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.

Abstract

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

Key words

IoT technology/grid identification information/privacy breach/security vulnerabilities

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出版年

2024
中国电力
国网能源研究院 中国电机工程学会

中国电力

CSTPCDCSCD北大核心
影响因子:1.463
ISSN:1004-9649
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