A Novel False Data Injection Attack Formulation Based on CUR Low-Rank Decomposition Method
Debottam Mukherjee, Sandip Ghosh, Rakesh Misra
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.
Topics & Concepts
Subspace topologyRank (graph theory)AlgorithmComputer scienceMatrix (chemical analysis)Test dataData miningMathematicsTopology (electrical circuits)Mathematical optimizationArtificial intelligenceProgramming languageMaterials scienceComposite materialCombinatoricsSmart Grid Security and ResilienceNetwork Security and Intrusion DetectionQuantum-Dot Cellular Automata