activity
20172021
most citedJoint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks

168 citations · 328 across the 5 of their papers we have counts for

collaborators

5 papers

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…

cs.CR2018

Blockchain-based Charging Coordination Mechanism for Smart Grid Energy Storage Units

Mohamed Baza, Mahmoud Nabil, Muhammad Ismail +3

Energy storage units (ESUs) enable several attractive features of modern smart grids such as enhanced grid resilience, effective demand response, and reduced bills. However, uncoor…

cs.LG2018★ 5 cited

Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters

Mahmoud Nabil, Muhammad Ismail, Mohamed Mahmoud +3

Modern smart grids rely on advanced metering infrastructure (AMI) networks for monitoring and billing purposes. However, such an approach suffers from electricity theft cyberattack…

cs.NI2017

From D2D to Ds2D: Prolonging the Battery Life of Mobile Devices via Ds2D Communications

Muhammad Z. Shakir, Muhammad Ismail, Xianbin Wang +2

Emerging device centric systems (DCS) such as device-to-device (D2D) communications are considered as a standard part of future mobile networks, where operators/consumers involve t…