A Design of Network Security Model for Power System Based on Deep Learning

In view of defects such as high-dimensional and imbalanced data in power network system, which lead to low performance of network security mechanism in detecting network attacks, this article designs a grid network security model based on deep learning algorithm. This model is supposed to improve the power system's capability to detect abnormal information and network attacks in the system by learning historical data and related log information. The article carries out a simulation of the model, the result of which proves that it is helpful for the safety management and stable operation of the power system in terms of attacks detection and prevention.