H∞ Fusion Detection of FDI Attacks for Nonlinear Cyber- Physical Systems

This paper studies the alarm response problem of false data injection (FDI) attacks for nonlinear physical dynamical process in cyber-physical systems. Considering the real-time attack detecting, multi-sensor fusion strategy is used to enhance the reliabilty which can also potentially improve the detection speed. Multiple finite-level logarithmic quantizers are used for estimators to reduce the size of data packages containing residual message due to the limited bandwidth. Then the optimal weight for each local estimator is derived by solving a predefined convex optimal problem. By using the proposed fusion method, a more accurate evaluation threshold is obtained, which further improves the performance of alarm response. At last, a simulation example of civil aircraft is used to illustrate the effectiveness of the proposed method.