Modeling False Data Injection Attacks in Integrated Electricity-Gas Systems
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866916729877168128 |
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| author | Liu, Rong-Peng Wang, Xiaozhe Li, Zuyi Zgheib, Rawad |
| author_facet | Liu, Rong-Peng Wang, Xiaozhe Li, Zuyi Zgheib, Rawad |
| contents | This work studies the modeling of false data injection attacks (FDIAs) in integrated electricity-gas systems (IEGSs). First, we introduce a static state estimation model and bad data detection method for IEGSs. Then, we develop FDIAs on IEGSs with complete network topology and parameter information. Next, we develop FDIAs on IEGSs when intruders have only local network topology and parameter information of an IEGS. Lastly, we explore FDIAs on IEGSs when intruders have only local network topology information of an IEGS. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_00781 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Modeling False Data Injection Attacks in Integrated Electricity-Gas Systems Liu, Rong-Peng Wang, Xiaozhe Li, Zuyi Zgheib, Rawad Systems and Control This work studies the modeling of false data injection attacks (FDIAs) in integrated electricity-gas systems (IEGSs). First, we introduce a static state estimation model and bad data detection method for IEGSs. Then, we develop FDIAs on IEGSs with complete network topology and parameter information. Next, we develop FDIAs on IEGSs when intruders have only local network topology and parameter information of an IEGS. Lastly, we explore FDIAs on IEGSs when intruders have only local network topology information of an IEGS. |
| title | Modeling False Data Injection Attacks in Integrated Electricity-Gas Systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2312.00781 |