Cyber-physical security for the microgrid

Stability Analysis of the Cyber Physical Microgrid System under the Intermittent DoS Attacks

Recent research has demonstrated the vulnerabilities of cyber physical microgrid to different rates of denial-of-service (DoS) attacks, which send internal requests to degrade the victim’s performance. However, the interaction between the attacks and the security of microgrid remains largely unknown. In this paper, we address two fundamental questions: (1) What is the impact of intermittent DoS...

A Cyber-Physical Security Analysis of Synchronous-Islanded Microgrid Operation

A Model-driven Approach to Develop and Manage Cyber-Physical Systems

Cyber-Physical Systems (CPS) integrate computing, networking, and physical processes to digitally execute tasks on or using the physical elements of a system. Power microgrids are a particular kind of CPS that enables management and autonomic control of local smart grids, aiming at reliability, fault tolerance and energy efficiency, among other goals. This paper explores a new approach based on...

Secure Power Systems Against Malicious Cyber-Physical Data Attacks: Protection and Identification

The security of power systems against malicious cyberphysical data attacks becomes an important issue. The adversary always attempts to manipulate the information structure of the power system and inject malicious data to deviate state variables while evading the existing detection techniques based on residual test. The solutions proposed in the literature are capable of immunizing the power sy...

An Effective Attack-Resilient Kalman Filter-Based Approach for Dynamic State Estimation of Synchronous Machine

Kalman filtering has been widely considered for dynamic state estimation in smart grids. Despite its unique merits, the Kalman Filter (KF)-based dynamic state estimation can be undesirably influenced by cyber adversarial attacks that can potentially be launched against the communication links in the Cyber-Physical System (CPS). To enhance the security of KF-based state estimation, in this paper...