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Hokkaido University Collection of Scholarly and Academic Papers >
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Peer-reviewed Journal Articles, etc >
Sensor Scheduling-Based Detection of False Data Injection Attacks in Power System State Estimation
| Title: | Sensor Scheduling-Based Detection of False Data Injection Attacks in Power System State Estimation |
| Authors: | OBATA, Sho Browse this author | | KOBAYASHI, Koichi Browse this author →KAKEN DB | | YAMASHITA, Yuh Browse this author →KAKEN DB |
| Keywords: | power networks | | state estimation | | false data injection (FDI) attacks | | random sensor scheduling |
| Issue Date: | 1-Jun-2022 |
| Publisher: | IEICE |
| Journal Title: | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| Volume: | E105.A |
| Issue: | 6 |
| Start Page: | 1015 |
| End Page: | 1019 |
| Publisher DOI: | 10.1587/transfun.2021EAL2098 |
| Abstract: | In the state estimation of steady-state power networks, a cyber attack that cannot be detected from the residual (i.e., the estimation error) is called a false data injection (FDI) attack. In this letter, to enforce the security of power networks, we propose a method of detecting an FDI attack. In the proposed method, an FDI attack is detected by randomly choosing sensors used in the state estimation. The effectiveness of the proposed method is presented by two examples including the IEEE 14-bus system. |
| Rights: | copyright©2022 IEICE |
| Type: | article |
| URI: | http://hdl.handle.net/2115/90183 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 小林 孝一
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