Preferential Cyber Defense for Power Grids
Mohammadamin Moradi, Yang Weng, John Dirkman, Ying‐Cheng Lai
Abstract
To safeguard electric power grids from random failures and cyberattacks, a reinforcement learning approach is developed using linear temporal logic to efficiently allocate limited resources, promising improved defense for critical cyberphysical systems.
Topics & Concepts
SafeguardComputer scienceReinforcement learningDistributed computingElectric power systemComputer securityCascading failurePower (physics)Reliability engineeringEngineeringArtificial intelligenceBusinessPhysicsQuantum mechanicsInternational tradeSmart Grid Security and ResilienceNetwork Security and Intrusion DetectionAdvanced Malware Detection Techniques