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20192023
most citedJoint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks

168 citations · 679 across the 20 of their papers we have counts for

collaborators
Showing 2021Show all

10 papers · 1 filter

cs.CR2021★ 1 cited

Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks

Osman Boyaci, Mohammad Rasoul Narimani, Katherine Davis +1

As a highly complex and integrated cyber-physical system, modern power grids are exposed to cyberattacks. False data injection attacks (FDIAs), specifically, represent a major clas…

cs.AI2021★ 8 cited

Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach

Abhijeet Sahu, Katherine Davis

False alerts due to misconfigured/ compromised IDS in ICS networks can lead to severe economic and operational damage. To solve this problem, research has focused on leveraging dee…

eess.SY2021★ 4 cited

An Energy Management System Approach for Power System Cyber-Physical Resilience

Katherine Davis

Power systems are large scale cyber-physical critical infrastructure that form the basis of modern society. The reliability and resilience of the grid is dependent on the correct f…

cs.LG2021★ 168 cited

Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks

Osman Boyaci, Mohammad Rasoul Narimani, Katherine Davis +3

False data injection attacks (FDIA) are a main category of cyber-attacks threatening the security of power systems. Contrary to the detection of these attacks, less attention has b…

eess.SP2021★ 155 cited

Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids

Osman Boyaci, Amarachi Umunnakwe, Abhijeet Sahu +4

False data injection attacks (FDIAs) represent a major class of attacks that aim to break the integrity of measurements by injecting false data into the smart metering devices in p…

eess.SY2021

Statistics for Building Synthetic Power System Cyber Models

Morayo Soetan, Zeyu Mao, Katherine Davis

A realistic communication system model is critical in power system studies emphasizing the cyber and physical intercoupling. In this paper, we provide characteristics that could be…

cs.CR2021★ 127 cited

Man-in-The-Middle Attacks and Defense in a Power System Cyber-Physical Testbed

Patrick Wlazlo, Abhijeet Sahu, Zeyu Mao +4

Man-in-The-Middle (MiTM) attacks present numerous threats to a smart grid. In a MiTM attack, an intruder embeds itself within a conversation between two devices to either eavesdrop…

eess.SY2021★ 14 cited

Toward Efficient Wide-Area Identification of Multiple Element Contingencies in Power Systems

Hao Huang, Zeyu Mao, Mohammad Rasoul Narimani +1

Power system N-x contingency analysis has inherent challenges due to its combinatorial characteristic where outages grow exponentially with the increase of x and N. To address thes…

cs.LG2021★ 108 cited

Multi-Source Data Fusion for Cyberattack Detection in Power Systems

Abhijeet Sahu, Zeyu Mao, Patrick Wlazlo +4

Cyberattacks can cause a severe impact on power systems unless detected early. However, accurate and timely detection in critical infrastructure systems presents challenges, e.g.,…

eess.SY2021★ 21 cited

Real-time Power System Simulation with Hardware Devices through DNP3 in Cyber-Physical Testbed

Hao Huang, C. Matthew Davis, Katherine R. Davis

Modern power grids are dependent on communication systems for data collection, visualization, and control. Distributed Network Protocol 3 (DNP3) is commonly used in supervisory con…