Design and Evaluation of Secure Diagnosis and Control Benchmarks and Test-Scenarios for Cyber-Physical Systems

Dear Colleagues,

Cyber-Physical Systems (CPS) integrate physical processes, computational resources, and communication capabilities. This interaction through the different modalities allows the development of innovative technologies. Examples of such systems include transportation networks, power generation and distribution networks, water and gas distribution networks, islanded microgrids, and advanced communication systems. It is worth mentioning that the integration of cyber and physical components increases the efficiency of the systems but also renders them susceptible to hazards, e.g., generating concerns about possible cyber-attacks targeting them.

Therefore, this leads to new research challenges. There is an on-going trend in industrial control systems to control installations remotely, using sensors and actuators connected with the controller via a wireless network. Added to this, more emphasis is currently placed on the monitoring, diagnosis, and fault-tolerant control algorithms located on the computing cloud (control as a service). Such solution, whilst providing undoubtful benefits in terms of cost, flexibility, ease of modifications, and maintenance, also poses certain problems that need to be addressed—for instance, resilience of control actions, and security of information flow and information processing.

It is important that these problems are fully defined and appropriate benchmarks and test scenarios are established for a reliable comparison of different proposed solutions of secure and resilient control and diagnosis algorithms. In this Special Issue, we invite authors to share their experience with the design of such benchmark cases and/or performing test scenarios of the developed algorithms.

Dr. Jakub Możaryn
Dr. Ramon Costa Castelló
Dr. Matthew Bradbury
Guest Editors

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• cyber-physical systems
• cloud computing
• industrial internet of things
• control as a service
• secure state estimation
• encrypted control
• cybersecurity
• fault-tolerant control
• resilient control
• cyber-attack detection
• cyber-attack mitigation
• industrial cyber-attack benchmarks