Simulation and Analysis of Cyber Attacks on Power and Energy Systems

The power grid has evolved over decades with cyber systems and communications such as SCADA; however, the cyber-power system can be infiltrated by malicious attackers due to this connectivity. Encryption alone is not sufficient. We propose a criminology- and fuzzy-logic-inspired attack algorithm to serve as a testbed for AI-based defenses, recognizing that real attackers may strike varying components in uncertain orders. The method provides a consistent-yet-diverse attack generator for evaluating defensive tools on cyber-physical system models.