Cyber Attack Detection Scheme for a Load Frequency Control System Based on Dual-Source Data of Compromised Variables

Cyber attacks bring key challenges to the system reliability of load frequency control (LFC) systems. Attackers can compromise measured data critical variables LFC system, making received by defender unreliable and resulting in fluctuation or even collapse. In this paper, detect potential on data, we propose a novel attack detection scheme using dual-source (DSD) compromised variables. First, study characteristics considering potentially vulnerable different types templates. Second, designing variable observer, relationship between known security which are at risk being is established. The features obtained observer reflect those true data. Third, Siamese network (SN) designed quantify distance that observed Finally, an analyzing similarity DSD. Simulation results verify feasibility studied paper.