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Smart Grid (SG) research and development has drawn much attention from academia, industry and government due to the great impact it will have on society, economics and the environment. Securing the SG is a considerably significant challenge due the increased dependency on communication networks to assist in physical process control, exposing them to various cyber‐threats. In addition to attacks that change measurement values using False Data Injection (FDI) techniques, attacks on the communication network may disrupt the power system's real‐time operation by intercepting messages, or by flooding the communication channels with unnecessary data. Addressing these attacks requires a cross‐layer approach. In this paper a cross‐layered strategy is presented, called Cross‐Layer Ensemble CorrDet with Adaptive Statistics(CECD‐AS), which integrates the detection of faulty SG measurement data as …