This paper focuses on the adaptive event-triggered fuzzy controller design for nonlinear multi-input-multi-output (MIMO) systems with deception attacks and time-varying parameters. Given the presence of deception attack signal, the direct approximation of the unknown time-varying function by using fuzzy logic systems becomes infeasible. To overcome this difficulty, a parameter extraction technique is employed to separate time-varying parameters from the uncertain nonlinear functions. Based on the single parameter learning method, multiple unknown parameters and sensor attack signals are neatly transformed into one unknown parameter to reduce computation. Moreover, in order to effectively transmit and save resources, a dynamic event-triggered scheme is considered in the backstepping design framework. By utilizing the Lyapunov theory, it is shown that the proposed control strategy guarantees that all the closed-loop signals are bounded. The effectiveness of the proposed method is illustrated by a simulation result.