<p>The issue of predefined-time control for stochastic nonlinear systems (SNS) with injection and deception attacks is studied. This scheme overcomes the disadvantage that the settling time depends on the initial state/complex parameter relationships in finite/fixed-time stabilization. Compared with the existing predefined-time schemes, the proposed scheme has greater freedom and improves the applicability because the exponential function is changed to the power function in the controller design. In addition, we are the first to present the issue of predefined-time control for SNS under injection and deception attacks. For the network security control of systems, the previous methods mainly focus on state estimation, fault detection, recovery schemes, and so on. These methods are not only complicated in design process but also have some limitations in practical application. With the help of adaptive theory and the predefined-time theory, we designed a novel adaptive fuzzy controller, which can reduce the influence of injection and deception attacks and ensure the closed-loop system is uniformly bounded in the 4th moment sense. Simulations show the feasibility of the proposed method.</p>