Secure filtering for stochastic non‐linear systems under multiple missing measurements and deception attacks
Huanhuan Yuan, Yuanqing Xia · IET Control Theory and Applications · 2017
In this study, a secure filtering problem is investigated for a class of uncertain stochastic non‐linear systems. A novel multiple channel attack model is established to account for the missing measurements and random deception attacks, which are assumed to occur in the insecure networks. The concept of ‐level security is proposed to quantify the degree of security. With the techniques of stochastic analysis, sufficient conditions are derived to provide the filtering systems ‐level security. Moreover, secure filtering gains are characterised by the solution to a set of inequality constraints. Numerical simulations on a power grid system are exploited to illustrate the effectiveness of the proposed design methodology.