Visible to the public Detection of False Data Injection Attack Based on Improved Distortion Index Method

TitleDetection of False Data Injection Attack Based on Improved Distortion Index Method
Publication TypeConference Paper
Year of Publication2020
AuthorsXiong, Xiaoping, Sun, Di, Hao, Shaolei, Lin, Guangyang, Li, Hang
Conference Name2020 IEEE 20th International Conference on Communication Technology (ICCT)
Date PublishedOct. 2020
ISBN Number978-1-7281-8141-7
Keywordscomposability, cyber physical systems, distortion, electric power system, False Data Detection, false data injection attacks, Human Behavior, human factors, Improved distortion index, Indexes, Normalized residual, power grids, Power measurement, Power systems, pubcrawl, resilience, Resiliency, state estimation, Symmetric matrices
AbstractWith the advancement of communication technology, the interoperability of the power grid operation has improved significantly, but due to its dependence on the communication system, it is extremely vulnerable to network attacks. Among them, the false data injection attack utilizes the loophole of bad data detection in the system and attacks the state estimation system, resulting in frequent occurrence of abnormal data in the system, which brings great harm to the power grid. In view of the fact that false data injection attacks are easy to avoid traditional bad data detection methods, this paper analyzes the different situations of false data injection attacks based on the characteristics of the power grid. Firstly, it proposes to apply the distortion index method to false data injection attack detection. Experiments prove that the detection results are good and can be complementary to traditional detection methods. Then, combined with the traditional normalized residual method, this paper proposes the improved distortion index method based on the distortion index, which is good at detecting abnormal data. The use of improved distortion index method to detect false data injection attacks can make up for the defect of the lack of universality of traditional detection methods, and meet the requirements of anomaly detection efficiency. Finally, based on the MATLAB power simulation test system, experimental simulation is carried out to verify the effectiveness and universality of the proposed method for false data injection attack detection.
Citation Keyxiong_detection_2020