Replay Attack Defense for FIR Systems Based on Binary Observations and Event-Driven Communication
Lingfeng Chen, Jiahua Fan, Ruizhe Jia, Jin Guo · 2025
Due to network openness, cyber-physical systems are vulnerable to cyberattacks, with replay attacks being a common type. Event-driven communication mechanisms are widely used to save communication resources. Previous studies often discussed these two aspects separately. In this paper, focusing on binary quantized FIR systems, we research parameter identification when event-driven communication and replay attacks coexist. We first analyze the original identification algorithm's shortcomings, design a consensus identification algorithm based on attack strategy compensation, and prove its convergence. Then, after adaptively adjusting the event-driven communication model and transmitted data, we design a consensus identification algorithm for unknown attack strategies and prove its convergence. Finally, simulations verify the algorithms' effectiveness and accuracy.