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A Novel False Data Injection Attack Formulation Based on CUR Low-Rank Decomposition Method
| dc.contributor.author | Mukherjee D.; Ghosh S.; Misra R.K. | |
| dc.date.accessioned | 2025-05-23T11:24:26Z | |
| dc.description.abstract | State estimation algorithms deployed in modern grids are vulnerable towards false data injection attacks. This work demonstrates a novel attack vector (AV) formulation scheme by exploiting the low-rank subspace of the topology matrix. With constraints over the state deviation vector, this work showcases that the developed AV can effectively bypass the residue test for a demonstrated test bench. © 2010-2012 IEEE. | |
| dc.identifier.doi | https://doi.org/10.1109/TSG.2022.3204214 | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/10073 | |
| dc.relation.ispartofseries | IEEE Transactions on Smart Grid | |
| dc.title | A Novel False Data Injection Attack Formulation Based on CUR Low-Rank Decomposition Method |