A Nussbaum-Based event-triggered resilient consensus control is proposed for uncertain nonlinear multi-agent systems under false data injection attack. A dynamic event-triggered condition based on Nussbaum function and dynamic surface error is designed to reduce the transmission load. Moreover, a Nussbaum-Based resilient consensus control strategy is used to deal with the under false data injection attack. According to Lyapunov stability theory, consensus errors are ultimately bounded and converge to an adjustable neighborhood of the origin. Finally, a numerical example is illustrated to verify the feasibility of the control strategy.