Attack Detection Technology of Substation Data Processing Platform Based on Convolutional Neural Network
Convolutional neural network is a deep learning technology that analyzes and processes data according to the way the human brain processes information.It is especially suitable for dealing with problems with high complexity and large amount of data,such as the attack detec-tion faced by the substation data processing platform.In this paper,the attack detection technolo-gy of substation data processing platform based on convolutional neural network is elaborated.First,the system working principle of substation data processing platform is introduced,and then the system architecture,maintenance platform optimization scheme and supervision attack detec-tion method of this technology are described in detail.The effectiveness of the proposed method is verified by system testing.Demonstrated its great potential to improve data security in substa-tions and reduce the risk of potential attacks.
data processingConvolutional neural networkSubstationAttack detection tech-nique
万方数据
维普
