In recent years, Cyber-Physical Systems (CPSs) have attracted intense attention due to their potential applications in many areas. However, the strong reliance on communication networks makes CPSs vulnerable to intentional cyber-attacks. Therefore, a great number of attack detection methods have been proposed to enforce security of CPSs. In this paper, various false data injection attack detection methods presented for CPSs are investigated and reviewed. According to the knowledge of control information, the controllers of CPSs are categorized as centralized and distributed controllers. Existing centralized attack detection approaches are discussed in terms of (i) linear time-invariant systems, (ii) actuator and sensor attacks, (iii) nonlinear systems and (iv) systems with noise. Furthermore, the development of distributed attack detection is reviewed according to different decoupling methods. Some challenges and future research directions in the context of attack detection approaches are provided.

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Microgrids (MGs), referred to as the next-generation power systems, are receiving considerable attention from both industry and academia. Integrated with distributed energy resources (DERs), energy storage system and a variety of loads, microgrid functions as a localized power grid which can be operated independently or connected to utility grids. With the rapid development of technology in communication networks, the framework of MGs tends to be more distributed, intelligent and tightly integrated with networks. Applications of MGs can be found on the Internet of Things (IoT), Industry 4.0, Smart Cities, etc.However, due to the strong dependence on networks, the microgrid is more vulnerable to security threats. A malicious attacker can apply some kinds of attacks to the MG system, compromise the MG control and lead to disruptive events in the society. Such cases are posing new challenges to the design of the MG systems. Currently, the MGs are generally designed with technologies that can protect against communication delays or data dropouts and potential component failures during operations. However, due to the development of various intelligent attacks, traditional technologies behave very limitedly to secure the MGs. It is therefore essential to reexamine the existing techniques from the perspective of both cyber-layer and physical layer. Communication NetworkThe microgrid is a robust platform that can help to build distributed electric power systems with high efficiency, sustainability, flexibility, intelligence. Due to the high penetration of renewable energy, microgrid usually works as a fully controllable unit. With the broad access to a variety of energy sources and loads, the distributed microgrid should possess the following features:Efficient: Persistent low energy use minimize demand on grid resources and infrastructure.Connected: Two-way communication with flexible technologies, the grid, and occupants.Intelligent: Analytics supported by sensors and controls co-optimize efficiently, flexibility, and occupant preferences.Flexible: Flexible loads and distributed generation/storage used to modulate energy distribution.Toward these requirements, it is necessary to develop the microgrid with desirable performances, such as a fast response, efficient energy distribution and a satisfactory power balance between supply and demand. The realization of these goals heavily relies on an efficient and secure interaction within the microgrid, and thus addresses higher requirements for the communication network.However, with the rapid development of advanced information and communications technology (ICT), the microgrid turns into a more complicated bi-directional P2P energy transaction network. Big data are generated and exchanged among heterogeneous resources to enhance the penetration of renewable energy and increase the flexibility of the consumption sector. Therefore, compared with the traditional communication system, the microgrid communication system is more complex and may be exposed to security threats. Co...

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