Abstract

In this brief, the data-driven design of sparse undetectable sensor attacks against cyber-physical systems is studied, with the aid of subspace approach. First, the undetectable and sparse sensor attack design schemes are proposed based on the physical models. Then the data-driven realizations of sparse undetectable sensor attacks are designed via identifying the subspace from the collected input and output data. Moreover, the impacts of sparse undetectable sensor attacks are evaluated by solving the constraint optimization problems. Finally, the simulations on an unmanned aerial vehicle are illustrated to testify the effectiveness of the proposed methods.

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