电力信息与通信技术2025，Vol.23Issue(5)：68-76,9.DOI:10.16543/j.2095-641x.electric.power.ict.2025.05.09
完整性攻击下电网监控系统的可疑传感器检测
Suspicious Sensor Detection of Power Grid Monitoring System Under Integrity Attack
摘要
Abstract
With the rapid development of communication and sensing technology,it has become possible to monitor the operating status of the power grid in real time through sensor systems.But it also brings a new challenge:hostile entities can tamper with sensor data to carry out data integrity attacks,misleading the monitoring system into judging the actual health of the grid.To address this challenge,this paper proposes an innovative attack detection and scheduling algorithm,a quantum particle swarm optimization algorithm based on historical data directionality guidance,which aims to solve the NP difficulty problem of identifying suspicious sensors from many sensors.Through its unique evolutionary mechanism,the algorithm effectively reduces the computational requirements for sensor selection.In view of the inherent uncertainty of evolutionary algorithms,historical data is introduced to guide the identification process of current suspicious sensors.The simulation results show that the average accuracy of the algorithm is as high as 86.69%,which is at least 5%higher than that of other algorithms.This new algorithm can not only effectively identify suspicious sensors,but also significantly improve the efficiency of attack detection,providing a strong guarantee for the information fusion security of power grid monitoring infrastructure.关键词
电网监控系统/数据完整性攻击/量子粒子群优化算法/历史数据方向性指导Key words
power grid monitoring systems/data integrity attacks/quantum particle swarm optimization algorithm/directional guidance from historical data分类
动力与电气工程引用本文复制引用
姬鹏宇,邹苏郦,柴森春,夏元清..完整性攻击下电网监控系统的可疑传感器检测[J].电力信息与通信技术,2025,23(5):68-76,9.基金项目
国家自然科学基金项目(62373051). （62373051）
