This paper studies the finite-time \(H_\infty \) security control problem based on a dynamic adaptive event-triggered mechanism (DAETM) for interval type-2 fuzzy networked control systems (NCSs) under deception attacks. Firstly, a DAETM is proposed to conserve network resources of NCSs. In contrast to existing DAETMs, the threshold of the proposed DAETM is determined founded on the average of the triggering error. This approach provides greater adaptability and flexibility in maintaining system control performance and conserving network communication bandwidth burden. Then, the closed-loop system is finite-time bounded and fulfills the desired \(H_\infty \) performance through constructing an appropriate Lyapunov function. Furthermore, the sufficient conditions for the existence of the finite-time \( H_\infty \) fuzzy controller are proved. Finally, a simulation example is provided to demonstrate the effectiveness of the proposed design approach.
