Additional development of tools and technologies that prevent, detect, and mitigate cyber-attacks in the critical energy infrastructure of today and tomorrow is vital. Those infrastructures and include fuels, generation, operations, transmission, distribution, and the end-use customer. The tools or technologies will enable control systems or component devices, at their points of integration with the bulk electric grid, to prevent a cyber-attack if possible. If prevention is not possible these cyber- defense tools engage to mitigate the attack by adapting to survive while sustaining critical energy delivery functions as response actions are executed.
Research within this technical area falls under three main subtopics:
- Inherently Secure Field Devices that Provide Observability of Grid Security
- Secure Communications of Information used for Grid Operations, for Normal Operations and/or during Emergency Response
- Malware Analysis Using an AI Approach
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Deep Learning Malware
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Digital Twin Reinforcement Learning
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Byzantine Security: Multi-layered Intrusion Tolerant BFT (M-BFT) Architecture for Bulk Power System Protective Relays
M-BFT combined with ML/AI methods will ensure that the bulk power system including protective rel
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Firmware Command and Control
Firmware Command and Control will create an agile embedded response capability foundational with
