| Title | Multi-level security defense method of smart substation based on data aggregation and convolution neural network |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Liu, Dong, Zhu, Yingwei, Du, Haoliang, Ruan, Lixiang |
| Conference Name | 2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) |
| Keywords | authentication, convolution, convolutional neural network, data aggregation, data privacy protection, Neural networks, pubcrawl, Resiliency, Scalability, security, security certification, security defense, signature based defense, simulation, Smart substation, Substations |
| Abstract | Aiming at the prevention of information security risk in protection and control of smart substation, a multi-level security defense method of substation based on data aggregation and convolution neural network (CNN) is proposed. Firstly, the intelligent electronic device(IED) uses "digital certificate + digital signature" for the first level of identity authentication, and uses UKey identification code for the second level of physical identity authentication; Secondly, the device group of the monitoring layer judges whether the data report is tampered during transmission according to the registration stage and its own ID information, and the device group aggregates the data using the credential information; Finally, the convolution decomposition technology and depth separable technology are combined, and the time factor is introduced to control the degree of data fusion and the number of input channels of the network, so that the network model can learn the original data and fused data at the same time. Simulation results show that the proposed method can effectively save communication overhead, ensure the reliable transmission of messages under normal and abnormal operation, and effectively improve the security defense ability of smart substation. |
| DOI | 10.1109/ACPEE53904.2022.9784038 |
| Citation Key | liu_multi-level_2022 |
Multi-level security defense method of smart substation based on data aggregation and convolution neural network