Characterizing Nuclear Cybersecurity States Using Artificial Intelligence/Machine Learning

Learn more about the potential of Artificial Intelligence (AI) and Machine Learning (ML) technologies to better characterize normal and abnormal system states and detect various cybersecurity events. By implementing and analyzing AI/ML algorithms, we assessed their capability to monitor and differentiate events in a nuclear environment, specifically at Purdue University’s digital research reactor, PUR-1.

The study draws from existing AI/ML tools, using real-time data to assess system states, aiming to provide insights for future applications in nuclear safety and cybersecurity. Detailed findings and lessons learned are presented across five project tasks, each documented in individual task reports.