Recursive identification of FIR systems with binary outputs under data tampering attacks

Abstract

This paper addresses the issue of parameter estimation in Cyber-Physical Systems where binary outputs are subject to data tampering attacks. A novel recursive identification algorithm is designed to estimate unknown parameters under tampered binary outputs, ensuring asymptotically convergent parameter estimation. Theoretical guarantees are provided for the algorithm's performance, including mean-square convergence, almost sure convergence, and convergence rate. Numerical simulations show the effectiveness of the proposed method.