False data injection attack detection and rejection for line current differential relays
Open Access
- 29 September 2026
- journal article
- Published by Elsevier in Electric Power Systems Research
- Vol. 265
Abstract
No abstract availableFunding Information
- Natural Sciences and Engineering Research Council of Canada (ALLRP567550-21)
This publication has 34 references indexed in Scilit:
- A machine learning-based cyberattack detection and prevention system for protective relays in high voltage substationsElectric Power Systems Research, 2026
- Enhancing transmission line security: Robust sag interval estimation under hybrid cyber attacksElectric Power Systems Research, 2025
- A survey on coordinated attacks against cyber–physical power systems: Attack, detection, and defense methodsElectric Power Systems Research, 2024
- Trends in Smart Grid Cyber-Physical Security: Components, Threats, and SolutionsIEEE Access, 2024
- A review of signal processing for fault diagnosis in systems with inverter-based resources and an improved high-frequency component-based disturbance detectorElectric Power Systems Research, 2024
- Deep learning-based integrated attack detection framework to protect distance relays against cyberattacksElectric Power Systems Research, 2024
- Detection of Cyber-Attacks and Power Disturbances in Smart Digital Substations using Continuous Wavelet Transform and Convolution Neural NetworksElectric Power Systems Research, 2024
- A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and futureElectric Power Systems Research, 2022
- Comprehensive survey and taxonomies of false data injection attacks in smart grids: attack models, targets, and impactsRenewable and Sustainable Energy Reviews, 2022
- A Survey of Denial-of-Service Attacks and Solutions in the Smart GridIEEE Access, 2020