2 citations · 2 across the 6 of their papers we have counts for
6 papers
Technical Report on Resilient and Secure Large-Scale Energy Internet Systems
Ioannis Zografopoulos, Karen Largman, Isaac Ortega Romero +11
This IEEE PES Task Force report examines the security and resilience of large-scale Energy Internet (EI) systems, in which electricity, information, and market layers are tightly c…
Moving Target Defense Against Adversarial False Data Injection Attacks In Power Grids
Yexiang Chen, Subhash Lakshminarayana, H. Vincent Poor
Machine learning (ML)-based detectors have been shown to be effective in detecting stealthy false data injection attacks (FDIAs) that can bypass conventional bad data detectors (BD…
Survey of Moving Target Defense in Power Grids: Design Principles, Tradeoffs, and Future Directions
Subhash Lakshminarayana, Yexiang Chen, Charalambos Konstantinou +2
Moving target defense (MTD) in power grids is an emerging defense technique that has gained prominence in the recent past. It aims to solve the long-standing problem of securing th…
Cybersecurity Threats to Power Grid Operations from the Demand-Side Response Ecosystem
Subhash Lakshminarayana, Carsten Maple, Andrew Larkins +4
This article focuses on cyber security threats from IoT-enabled energy smart appliances (ESAs) such as smart heat pumps, electric vehicle chargers, etc., to power grid operations.…
Localization of Coordinated Cyber-Physical Attacks in Power Grids Using Moving Target Defense and Deep Learning
Yexiang Chen, Subhash Lakshminarayana, Fei Teng
As one of the most sophisticated attacks against power grids, coordinated cyber-physical attacks (CCPAs) damage the power grid's physical infrastructure and use a simultaneous cybe…
A Meta-Learning Approach to the Optimal Power Flow Problem Under Topology Reconfigurations
Yexiang Chen, Subhash Lakshminarayana, Carsten Maple +1
Recently, there has been a surge of interest in adopting deep neural networks (DNNs) for solving the optimal power flow (OPF) problem in power systems. Computing optimal generation…