Hierarchical-Attention-Based Defense Method for Load Frequency Control System Against DoS Attack

The deployment and operation of load frequency control (LFC) systems rely on the latest network and communication technologies. This exposes it to network attacks, such as DoS attacks, which affect the running of the system. In order to offset the impact of DoS attacks, this article proposes a data prediction-based defense method. First, the cyber-physical model of LFC is constructed to derive the frequency. Based on the model, a prediction model organically combined with the hierarchical attention network is applied to restore missing measurements. Then the proposed method can detect and eliminate the impact of DoS attacks by comparing and replacing the measurements, rather than adopting flexible LFC strategies. Finally, simulation experiments are carried out on three different power generation systems. The results prove that the suggested method can effectively resist DoS attacks.

Automated summary

This article proposes a data prediction-based defense method to counter the impact of DoS attacks on LFC systems, utilizing a cyber-physical model and prediction model. Simulation experiments show the effectiveness of the suggested method in resisting DoS attacks.