In the above chapters, the transient performance constraint problems for Markov jump systems (MJSs) under physical limitations (such as actuator failures, actuator nonlinearities and controller gain variations) have been dealt with via the sliding mode control (SMC) method. This chapter consider a kind of networked limitation issue, i.e., cyber attacks in controller-to-actuator (C/A) channel. It is assumed that control input signals transmitted via communication network are vulnerable to cyber attacks, in which the adversaries may inject false data in a probabilistic way into the control signals. Meanwhile, there may exist randomly occurring uncertainties (ROUs) and peak-bounded external disturbances. A suitable sliding mode controller is designed such that state trajectories are driven onto the specified sliding surface during a given finite-time interval. In virtue of a set of mode-dependent sufficiently small scalars, the feasible conditions are obtained to ensure the stochastic finite-time boundeness (SFTB) of the closed-loop systems. Finally, the practical system about a single-link robot arm model is given to illustrate the present method.