Earth-Mover-Distance-Based Detection of False Data Injection Attacks in Smart Grids
The high integration of power information physical system improves the efficiency of power transmission, but it also brings new threats to power grid. False data injection attacks can use traditional bad data to detect vulnerabilities and maliciously tamper with measurement data to affect the state...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/5/1733 |
| _version_ | 1797475206533480448 |
|---|---|
| author | Zhengwei Qu Jingchuan Yang Yansheng Lang Yunjing Wang Xiaoming Han Xinyue Guo |
| author_facet | Zhengwei Qu Jingchuan Yang Yansheng Lang Yunjing Wang Xiaoming Han Xinyue Guo |
| author_sort | Zhengwei Qu |
| collection | DOAJ |
| description | The high integration of power information physical system improves the efficiency of power transmission, but it also brings new threats to power grid. False data injection attacks can use traditional bad data to detect vulnerabilities and maliciously tamper with measurement data to affect the state estimation results. In order to achieve a higher security level for power systems, we propose an earth mover distance method to detect false data injection attacks in smart grids. The proposed method is built on the dynamic correlation of measurement data between adjacent moments. Firstly, a joint-image-transformation-based scheme is proposed to preprocess the measurement data variation, so that the distribution characteristics of measurement data variation are more significant. Secondly, the deviation between the probability distribution of measurement data variation and the histogram are obtained based on the earth’s mover distance. Finally, a reasonable detection threshold is selected to judge whether there are false data injection attacks. The proposed method is tested using IEEE 14 bus system considering the state variable attacks on different nodes. The results verified that the proposed method has a high detection accuracy against false data injection attacks. |
| first_indexed | 2024-03-09T20:41:54Z |
| format | Article |
| id | doaj.art-7578885a798d4b8a824433e31969e566 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T20:41:54Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-7578885a798d4b8a824433e31969e5662023-11-23T22:56:41ZengMDPI AGEnergies1996-10732022-02-01155173310.3390/en15051733Earth-Mover-Distance-Based Detection of False Data Injection Attacks in Smart GridsZhengwei Qu0Jingchuan Yang1Yansheng Lang2Yunjing Wang3Xiaoming Han4Xinyue Guo5State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Beijing 100192, ChinaSchool of Electrical Engineering, Yanshan University, Qinghuangdao 066004, ChinaState Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Beijing 100192, ChinaSchool of Electrical Engineering, Yanshan University, Qinghuangdao 066004, ChinaSchool of Electrical Engineering, Yanshan University, Qinghuangdao 066004, ChinaSchool of Electrical Engineering, Yanshan University, Qinghuangdao 066004, ChinaThe high integration of power information physical system improves the efficiency of power transmission, but it also brings new threats to power grid. False data injection attacks can use traditional bad data to detect vulnerabilities and maliciously tamper with measurement data to affect the state estimation results. In order to achieve a higher security level for power systems, we propose an earth mover distance method to detect false data injection attacks in smart grids. The proposed method is built on the dynamic correlation of measurement data between adjacent moments. Firstly, a joint-image-transformation-based scheme is proposed to preprocess the measurement data variation, so that the distribution characteristics of measurement data variation are more significant. Secondly, the deviation between the probability distribution of measurement data variation and the histogram are obtained based on the earth’s mover distance. Finally, a reasonable detection threshold is selected to judge whether there are false data injection attacks. The proposed method is tested using IEEE 14 bus system considering the state variable attacks on different nodes. The results verified that the proposed method has a high detection accuracy against false data injection attacks.https://www.mdpi.com/1996-1073/15/5/1733earth’s mover distance (EMD)false data injection attacks (FDIAs)joint image transformation (JIT)smart grid |
| spellingShingle | Zhengwei Qu Jingchuan Yang Yansheng Lang Yunjing Wang Xiaoming Han Xinyue Guo Earth-Mover-Distance-Based Detection of False Data Injection Attacks in Smart Grids Energies earth’s mover distance (EMD) false data injection attacks (FDIAs) joint image transformation (JIT) smart grid |
| title | Earth-Mover-Distance-Based Detection of False Data Injection Attacks in Smart Grids |
| title_full | Earth-Mover-Distance-Based Detection of False Data Injection Attacks in Smart Grids |
| title_fullStr | Earth-Mover-Distance-Based Detection of False Data Injection Attacks in Smart Grids |
| title_full_unstemmed | Earth-Mover-Distance-Based Detection of False Data Injection Attacks in Smart Grids |
| title_short | Earth-Mover-Distance-Based Detection of False Data Injection Attacks in Smart Grids |
| title_sort | earth mover distance based detection of false data injection attacks in smart grids |
| topic | earth’s mover distance (EMD) false data injection attacks (FDIAs) joint image transformation (JIT) smart grid |
| url | https://www.mdpi.com/1996-1073/15/5/1733 |
| work_keys_str_mv | AT zhengweiqu earthmoverdistancebaseddetectionoffalsedatainjectionattacksinsmartgrids AT jingchuanyang earthmoverdistancebaseddetectionoffalsedatainjectionattacksinsmartgrids AT yanshenglang earthmoverdistancebaseddetectionoffalsedatainjectionattacksinsmartgrids AT yunjingwang earthmoverdistancebaseddetectionoffalsedatainjectionattacksinsmartgrids AT xiaominghan earthmoverdistancebaseddetectionoffalsedatainjectionattacksinsmartgrids AT xinyueguo earthmoverdistancebaseddetectionoffalsedatainjectionattacksinsmartgrids |