An Effective Hybrid Approach for Detection of False Data Injection Attacks in Connected Battery Systems with Noisy Measurements
| Author: | Farshid Naseri, Zahra Kazemi, Nima Tashakor, Anders Christian Solberg Jensen, Corneliu Barbu, Erik Schaltz |
|---|---|
| URL: | https://ieeexplore.ieee.org/document/10905587 |
| DOI: | https://doi.org/10.1109/IECON55916.2024.10905587 |
| ISBN: | 978-1-6654-6454-3 |
| ISBN: | 978-1-6654-6455-0 |
| Parent Title (English): | IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher: | IEEE |
| Place of publication: | Piscataway, NJ |
| Document Type: | Conference Proceeding |
| Language: | English |
| Publication year: | 2024 |
| Year of first Publication: | 2024 |
| Release Date: | 2026/10/19 |
| Page Number: | 6 |
| First Page: | 1 |
| Last Page: | 6 |
| Faculties / Organisational entities: | RPTU in Kaiserslautern / Fachbereich Elektrotechnik und Informationstechnik / Mechatronik und Elektrische Antriebssysteme |
| Open access state: | Closed Access |
| RPTU: | Kaiserslautern |
| Research funding: | Horizon |
| Sonstige | |
| Created at the RPTU: | Yes |