This invention discloses a multi-objective evolutionary modeling method for fake data attacks in power
system CPS (Computer-Powered Systems), belonging to the field of data
attack technology. It solves the problem of insufficient
attack flexibility in existing technologies, which fails to provide a foundation for power
system defense. This invention models attacks through a three-step
attack-defense game: attack
gene generation, optimization, and evolution. In the
gene generation stage,
gene encoding technology is used to construct attack gene units from the decoupled attack offset and tag policy matrix, and these units are then assembled into
base pair structures by aligning and splicing them. In the gene optimization stage, a multi-objective
fitness function is constructed based on concealment and attack effectiveness objectives. Using residuals and attack effectiveness as objectives, a multi-objective collaborative screening between destructiveness and concealment is achieved to obtain optimized genes. In the gene evolution stage, multi-point
crossover and single-point
crossover operations are used for the attack chain and concealment chain of the optimized genes, respectively, to enhance the attack effectiveness.