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While much has been written on the dire need for workers who understand both the IT and OT core concepts necessary to protect the cyber-physical systems of critical infrastructure, practical and specific recommendations for how to meet this need through education and workforce training are lacking. Many of the available programs for teaching cybersecurity of physical systems rely on virtual simulations and students may not encounter relevant physical equipment until they are in the workplace. RADICL’s Cyber-physical Shooting Gallery is a critical missing piece toward a comprehensive system to develop the competent workforce the nation needs. Through a series of cyber-physical capture-the-flag challenges that integrate the Purdue ICS Model with the MITRE ATT&CK framework, the Cyber-physical Shooting Gallery provides an accessible educational model for cyber-physical security education and training.
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Validating Intelligent Power and Energy Systems – A Discussion of Educational Needs
Traditional power systems education and training is flanked by the demand for coping with the rising complexity of energy systems, like the integration of renewable and distributed generation, communication, control and information technology. A broad understanding of these topics by the current/future researchers and engineers is becoming more and more necessary. This paper identifies educational and training needs addressing the higher complexity of intelligent energy systems. Education needs and requirements are discussed, such as the development of systems-oriented skills and cross-disciplinary learning. Education and training possibilities and necessary tools are described focusing on classroom but also on laboratory-based learning methods. In this context, experiences of using notebooks, co-simulation approaches, hardware-in-the-loop methods and remote labs experiments are discussed.
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- Award ID(s):
- 1743772
- PAR ID:
- 10076131
- Date Published:
- Journal Name:
- International Conference on Industrial Applications of Holonic and Multi-Agent Systems
- Page Range / eLocation ID:
- 200 - 212
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
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- The DOI is not currently available.
