A New Attack Recovery Approach and <italic>H</italic>∞ Performance Analysis for LFC Systems With FDI Attacks and Uncertainties
This paper focuses on the attack recovery and <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance analysis for load frequency control (LFC) systems with false data injection (FDI) attacks and uncertainties. Firstly, co...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10855390/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823859613089398784 |
|---|---|
| author | Xuxia He Ruimei Zhang Puying Wang |
| author_facet | Xuxia He Ruimei Zhang Puying Wang |
| author_sort | Xuxia He |
| collection | DOAJ |
| description | This paper focuses on the attack recovery and <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance analysis for load frequency control (LFC) systems with false data injection (FDI) attacks and uncertainties. Firstly, considering the impact of FDI attacks, a new Informer-based attack recovery (IAR) model is proposed for recovering FDI attacks. The IAR model is capable of extracting rich attack signal features from historical measurement data by leveraging multi-task learning. Compared with previous models, including LSTM and LSTM-AE, the IAR model improves the efficiency of recovering attacks for a future period and improves the recovery accuracy. Then, the recovered attacks can be used to regulate the control input signals of LFC systems to mitigate the impact of FDI attacks. Secondly, the uncertainties are considered in the LFC systems, which mainly consists of process and measurement noise. The <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance of LFC systems with uncertainties and FDI attacks is analyzed. Finally, two datasets are generated for validating the effectiveness of the proposed attack recovery model and the analysis of <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance. |
| format | Article |
| id | doaj-art-678545417fe04ff7a5b05095810b0b89 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-678545417fe04ff7a5b05095810b0b892025-02-11T00:00:40ZengIEEEIEEE Access2169-35362025-01-0113233992341110.1109/ACCESS.2025.353479810855390A New Attack Recovery Approach and <italic>H</italic>∞ Performance Analysis for LFC Systems With FDI Attacks and UncertaintiesXuxia He0Ruimei Zhang1https://orcid.org/0000-0002-6996-5412Puying Wang2School of Cyber Science and Engineering, Sichuan University, Chengdu, ChinaSchool of Cyber Science and Engineering, Sichuan University, Chengdu, ChinaSchool of Cyber Science and Engineering, Sichuan University, Chengdu, ChinaThis paper focuses on the attack recovery and <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance analysis for load frequency control (LFC) systems with false data injection (FDI) attacks and uncertainties. Firstly, considering the impact of FDI attacks, a new Informer-based attack recovery (IAR) model is proposed for recovering FDI attacks. The IAR model is capable of extracting rich attack signal features from historical measurement data by leveraging multi-task learning. Compared with previous models, including LSTM and LSTM-AE, the IAR model improves the efficiency of recovering attacks for a future period and improves the recovery accuracy. Then, the recovered attacks can be used to regulate the control input signals of LFC systems to mitigate the impact of FDI attacks. Secondly, the uncertainties are considered in the LFC systems, which mainly consists of process and measurement noise. The <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance of LFC systems with uncertainties and FDI attacks is analyzed. Finally, two datasets are generated for validating the effectiveness of the proposed attack recovery model and the analysis of <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance.https://ieeexplore.ieee.org/document/10855390/Load frequency control (LFC) systemsfalse data injection (FDI) attacksinformer-based attack recovery (IAR) modelH∞ performance analysis |
| spellingShingle | Xuxia He Ruimei Zhang Puying Wang A New Attack Recovery Approach and <italic>H</italic>∞ Performance Analysis for LFC Systems With FDI Attacks and Uncertainties IEEE Access Load frequency control (LFC) systems false data injection (FDI) attacks informer-based attack recovery (IAR) model H∞ performance analysis |
| title | A New Attack Recovery Approach and <italic>H</italic>∞ Performance Analysis for LFC Systems With FDI Attacks and Uncertainties |
| title_full | A New Attack Recovery Approach and <italic>H</italic>∞ Performance Analysis for LFC Systems With FDI Attacks and Uncertainties |
| title_fullStr | A New Attack Recovery Approach and <italic>H</italic>∞ Performance Analysis for LFC Systems With FDI Attacks and Uncertainties |
| title_full_unstemmed | A New Attack Recovery Approach and <italic>H</italic>∞ Performance Analysis for LFC Systems With FDI Attacks and Uncertainties |
| title_short | A New Attack Recovery Approach and <italic>H</italic>∞ Performance Analysis for LFC Systems With FDI Attacks and Uncertainties |
| title_sort | new attack recovery approach and italic h italic x221e performance analysis for lfc systems with fdi attacks and uncertainties |
| topic | Load frequency control (LFC) systems false data injection (FDI) attacks informer-based attack recovery (IAR) model H∞ performance analysis |
| url | https://ieeexplore.ieee.org/document/10855390/ |
| work_keys_str_mv | AT xuxiahe anewattackrecoveryapproachanditalichitalicx221eperformanceanalysisforlfcsystemswithfdiattacksanduncertainties AT ruimeizhang anewattackrecoveryapproachanditalichitalicx221eperformanceanalysisforlfcsystemswithfdiattacksanduncertainties AT puyingwang anewattackrecoveryapproachanditalichitalicx221eperformanceanalysisforlfcsystemswithfdiattacksanduncertainties AT xuxiahe newattackrecoveryapproachanditalichitalicx221eperformanceanalysisforlfcsystemswithfdiattacksanduncertainties AT ruimeizhang newattackrecoveryapproachanditalichitalicx221eperformanceanalysisforlfcsystemswithfdiattacksanduncertainties AT puyingwang newattackrecoveryapproachanditalichitalicx221eperformanceanalysisforlfcsystemswithfdiattacksanduncertainties |