Identification of a FIR system with binary-valued observation under data tampering attack and differential privacy preservation

This paper explores the use of differential privacy encryption to protect against data tampering attacks in the context of finite impulse response (FIR) system identification under binary observation conditions. The study begins by introducing the core principles of differential privacy and discussing the current security challenges faced by FIR systems. It highlights the risks of data tampering and privacy leakage during the system identification process. To address these challenges, two distinct differential privacy algorithms are proposed, providing dual encryption protection for the system parameters. By integrating differential privacy mechanisms into the FIR system, the proposed approach ensures the security and privacy of both data and parameters during transmission and processing. Experimental results demonstrate that the dual differential privacy protection effectively safeguards data while providing accurate parameter estimation, validating the effectiveness of the proposed scheme.