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Data-Driven False Data Injection Attack: A Low-Rank Approach

dc.contributor.authorMukherjee D.
dc.date.accessioned2025-05-23T11:23:43Z
dc.description.abstractFalse data injection attack on the state estimation algorithms have already showcased its detrimental effects for modern grid operation. This letter promotes a novel attack vector formulation policy for the linear state estimation algorithm by exploring the low-rank subspace of the mapping matrix. An extensive analysis on the IEEE 14 bus test bench promotes the aforementioned propositions. © 2010-2012 IEEE.
dc.identifier.doihttps://doi.org/10.1109/TSG.2022.3145633
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/9334
dc.relation.ispartofseriesIEEE Transactions on Smart Grid
dc.titleData-Driven False Data Injection Attack: A Low-Rank Approach

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