|本期目录/Table of Contents|

[1]夏豪聪,高金凤,高艳妮,等.基于低秩分解的智能电网虚假数据注入攻击设计算法[J].浙江理工大学学报,2026,55-56(自科六):876-881.
　XIA Haocong,GAO Jinfeng,GAO Yani,et al.Low-rank decomposition-based algorithm for false data injection attacks design in smart grids[J].Journal of Zhejiang Sci-Tech University,2026,55-56(自科六):876-881.
点击复制

基于低秩分解的智能电网虚假数据注入攻击设计算法()

浙江理工大学学报[ISSN:1673-3851/CN:33-1338/TS]

卷:
55-56
期数:
2026年自科第六期
页码:
876-881
栏目:
出版日期:
2026-11-10

文章信息/Info

Title:
Low-rank decomposition-based algorithm for false data injection attacks design in smart grids
文章编号:
1673-3851(2026) 11-0876-06
作者:
夏豪聪 ; 高金凤 ; 高艳妮 ; 吴平 ; 尹肖栋 ; 冯冬芹
1. 浙江理工大学全省数字时尚与数据治理重点实验室 ,杭州 310018;2. 浙江省电子信息产品检验研究院 ,杭州 310007;3. 浙江大学控制科学与工程学院 ,杭州 310028
Author(s):
XIA Haocong ; GAO Jinfeng ; GAO Yani ; WU Ping ; YIN Xiaodong ; FENG Dongqin
1. Zhejiang Key Laboratory of Digital Fashion and Data Governance, Zhejiang Sci-Tech University,Hangzhou 310018, China; 2. Zhejiang Electronic Information Products Inspection and Research Institute, Hangzhou 310007, China; 3. College of Control Science and Engineering,Zhejiang University, Hangzhou 310028, China
关键词:
虚假数据注入攻击 ; 智能电网; 低秩分解 ; 梯度下降法; 反幂法; 攻击向量
分类号:
TM73
文献标志码:
A
摘要:
面向智能电网虚假数据注入 (False data injection, FDI) 攻击场景 , 针对高维拓扑矩阵中攻击向量(Attack vector,AV)求解复杂度高 ,甚至出现无解的问题 ,提出了一种拓扑矩阵低秩空间内设计 AV的算法 。该算法融合 CUR降秩与梯度下降法 ,对电网系统拓扑矩阵进行低秩分解 , 同时引入反幂法解决 AV无解的情况 ,并基于电力系统标准化测试模型—MATPOWER工具箱中的 IEEE14节点模型进行仿真验证 。结果表明 ,该算法在电力系统中成功发起 FDI攻击 ,与现有主流算法相比 ,破坏性更高、计算复杂性更低 。该研究解决了 高维拓扑系统下攻击向量难以求解的问题 ,为智能电网FDI攻击的设计提供了新路径。

参考文献/References:

[1] Temelkova M. Similarities and differences between the technological paradigms "production system", "cyber-physical system" and "cyber-physical production system"[C]//2022 International Conference on Communications, Information, Electronic and Energy Systems (CIEES). November 24–26, 2022, Veliko Tarnovo, Bulgaria. IEEE, 2022: 1-7.
[2] 邓子琦。考虑储氢运行策略的综合能源信息物理系统可靠性评估 [J]. 东北电力技术，2025,46 (3):33-41,47.
[3] 孙子文，翟润华.DoS 攻击下多智能体 ICPS 的最优一致控制 [J]. 哈尔滨工业大学学报，2024,56 (12):62-70.
[4] Almomani O, Alsaaidah A, Abu Shareha A A, et al. Performance evaluation of machine learning classifiers for predicting denial-of-service attack in Internet of Things [J]. International Journal of Advanced Computer Science and Applications, 2024, 15 (1): 263-271.
[5] Ahmed M, Pathan A K. False data injection attack (FDIA): an overview and new metrics for fair evaluation of its countermeasure [J]. Complex Adaptive Systems Modeling, 2020, 8: 4.
[6] Wang X Y, Hu M, Luo X Y, et al. A detection model for false data injection attacks in smart grids based on graph spatial features using temporal convolutional neural networks [J]. Electric Power Systems Research, 2025, 238: 111126.
[7] 金增旺，刘茵，刁靖东，等。针对信息物理系统远程状态估计的隐蔽虚假数据注入攻击 [J]. 自动化学报，2025,51 (2):356-365.
[8] Lakshminarayana S, Kammoun A, Debbah M, et al. Data-driven false data injection attacks against power grids: A random matrix approach [J]. IEEE Transactions on Smart Grid, 2021, 12 (1): 635-646.
[9] Pang Z H, Fan L Z, Dong Z, et al. False data injection attacks against partial sensor measurements of networked control systems [J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69 (1): 149-153.
[10] Yang H S, Wang Z Q. A false data injection attack approach without knowledge of system parameters considering measurement noise [J]. IEEE Internet of Things Journal, 2024, 11 (1): 1452-1464.
[11] Shi H Z, Xie L B, Peng L. Detection of false data injection attacks in smart grid based on a new dimensionality-reduction method [J]. Computers & Electrical Engineering, 2021, 91: 107058.
[12] Yan J J, Yang G H, Wang Y. Dynamic reduced-order observer-based detection of false data injection attacks with application to smart grid systems [J]. IEEE Transactions on Industrial Informatics, 2022, 18 (10): 6712-6722.
[13] Mukherjee D, Ghosh S, Misra R K. A novel false data injection attack formulation based on CUR low-rank decomposition method [J]. IEEE Transactions on Smart Grid, 2022, 13 (6): 4965-4968.
[14] Mukherjee D. Data-driven false data injection attack: A low-rank approach [J]. IEEE Transactions on Smart Grid, 2022, 13 (3): 2479-2482.
[15] Liu B, Wu H Y. Low-rank false data injection attacks with incomplete network information against machine-learning detectors [J]. IEEE Transactions on Industrial Informatics, 2025, 21 (4): 2868-2877.

备注/Memo

备注/Memo:
基金项目 : 国家自然科学基金项目(62073296) ;广东省智能决策与协同控制重点实验室项目(2024-03) 收稿日期 : 2026-01-14 网络出版日期 : 2026-04-30
作者简介 : 夏豪聪(2002— ) ,男 ,浙江舟山人 ,硕士研究生 ,主要从事电力系统安全与防护方面的研究。通信作者: 高金凤,E-mail:jfgao@zstu. edu. cntopology systemsand providesanew approach forthedesignoffalsedatainjection attacksin smartgrids
更新日期/Last Update: 2026-11-09