Methods of cyber-attack identification for power systems based on bilateral cyber-physical information

•A cyber-physical sequence-data fusion method is proposed to synergistically combine the bilateral data.•A sequence feature extraction method is proposed to extract the features of different scenarios for offline analysis, which are called characteristic sequences.•An integrated empirical sequence-data driven identification model is proposed that satisfies the accuracy and speed requirements for practical online application with communication delay.