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Vulnerabilities, Threats, and Impacts of False Data Injection Attacks in Smart Grids: An Overview

Ahmed S. Musleh, Guo Chen, Zhao Yang Dong, Chen Wang, Shiping Chen

20202020 International Conference on Smart Grids and Energy Systems (SGES)21 citationsDOI

Abstract

The wide range of vulnerabilities and impacts of False data injection attack (FDIA) makes it the most challenging cyber-physical security threat in smart grids. This paper provides a detailed analysis of the various vulnerabilities, threats, and impacts of FDIA in smart grids. Our work considers the different layers and systems in the smart grids ranging from the local to the wide area monitoring and control applications. This work supplies a good insight of FDIA which inspires the research and development of defense mechanisms.

Topics & Concepts

Smart gridComputer scienceComputer securityCyber threatsWork (physics)EngineeringMechanical engineeringElectrical engineeringSmart Grid Security and ResilienceInternet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection