In recent years, interesting phenomena were revealed where the inherent noise enhances the adaptability of a system to its changing environment in a resilient manner. The application of such methods can be found in a wide variety of fields, from biology to engineering. In this paper we discuss the application of noise-assisted mechanisms to control and manage information networks. Specifically, we focus on two mechanisms, stochastic resonance and adaptive response by attractor selection, and show how they can be applied in self-adaptive network control to improve the robustness and reliability of the system.