Quantification of Cyber-Physical Security Risk and Probability of Rare Failures
NOTE: this is no longer an active CREDC research activity.
Recent advances in data sciences and technologies point to the methodological gap that exists in transferring large amounts of historical and real-time data from the grid to computationally tractable models. In view of the absence of a methodological paradigm that leverages availability of data to advance frontiers of research and technology in cyber-physical security, we are developing the theory and computational tools for creating such a framework. The planned research will provide a foundational modeling and analysis framework that will prove valuable for power system operators, utilities, and industrial entities interested in providing security and risk assessment for the grid.
Energy Delivery System (EDS) Gap Analysis
- Estimation of Risk and Rare Events (2016 Industry Workshop)