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文章摘要
基于随机巡视机制的电力物联网安全技术研究
Research on security technology of power Internet of things based on random inspection mechanism
Received:January 20, 2021  Revised:January 20, 2021
DOI:10.19753/j.issn1001-1390.2024.01.022
中文关键词: 电力物联网  随机巡视  安全行为  异常检测  节点检测
英文关键词: power Internet of things, random inspection, security behavior, anomaly detection, node detection
基金项目:南方电网科技项目(090000KK5210159)
Author NameAffiliationE-mail
LI Yingjie* Shenzhen Power Supply Co., Ld., Shenzhen 518000 , Guangdong, China. qiliang86102@163.com 
HUANG Yongguang Shenzhen Power Supply Co., Ld., Shenzhen 518000 , Guangdong, China. qiliang86102@163.com 
BAO Xianlu China Southern Power Grid Shenzhen Digital Grid Research Institute Co., Ld., Shenzhen 518000 , Guangdong, China qiliang86102@163.com 
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中文摘要:
      电力物联网的建设促进了电力系统各个方面的数据集成,但对电网系统的网络安全提出了较高要求,因此在电力物联网安全技术的基础上,提出了一种基于随机巡视的电力物联网安全行为异常检测方法。通过对网络节点进行编号管理,为不同信誉值的节点设计了不同的随机巡视频率,汇聚节点检测异常行为。通过仿真分析了文中方法在安全性和恶意节点检测方面的性能。结果表明,文中提出的检测方法能够及时有效地检测异常行为和恶意节点,降低了网络能耗,满足电力物联网的安全需求。
英文摘要:
      The construction of power internet of things promotes the data integration of all aspects of the power system, but puts forward higher requirements for the network security of the power grid system. Therefore , based on the security technology of power Internet of things , this paper proposes a random inspection based anomaly detection method for the security behavior of power Internet of things. Through the number management of network nodes , different random inspection frequencies are designed for nodes with different reputation values, and abnormal behaviors are detected by sink nodes.The performance of the proposed method in security and malicious node detection is analyzed by simulation. The results show that the proposed detection method can detect abnormal behavior and malicious nodes timely and effectively , reduce the network energy consumption, and meet the security requirements of power internet of things.
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