This talk will cover parts of Prof Pandey's research on electric grid cyber-security. Prof Pandey will begin by motivating the urgent need for grid cybersecurity research. Next, he will cover the standard threats in literature today and discuss how experts provide inconsistent answers when evaluating the impact and likelihood of these attacks. He will show that grid modeling and simulation are at the heart of these inconsistencies. In the second half of this talk, he will discuss a novel anomaly detection algorithm: Dynwatch. We posit that traditional “mechanistic-alone” bad-data detection and localization methods in grid control rooms may fail during a cyber-attack. He will discuss how the algorithm combines mechanistic approaches with data-mining techniques to identify and localize corrupted grid data in control rooms during a cyberattack.