A Review of False Data Injection Attacks Against Modern Power Systems

897 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Survey of IoT-Enabled Cyberattacks: Assessing Attack Paths to Critical Infrastructures and Services (2018, methodology): “Recent studies [128] examine the potential impact of FDIA in three main categories: (i) Electricity market : They are mainly focused on the economic aspect of FDIA [111].”
The future of risk assessment (2018, background): “, packet/data modification) [111,128,179], network scan and sniffing attacks [156,182], integrity attacks (e.”
Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations (2019, background): “For instance, lunching such attacks could mislead the state estimation process of a IoT device, causing dramatic economic impact or even loss of human life [169].”
Permissioned Blockchain and Edge Computing Empowered Privacy-Preserving Smart Grid Networks (2019, background): “We observe that common threats mostly can be categorized into three layers, which include edge [2], [12], communication [13], and power plants [14] layers.”
Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks (2018, methodology): “In the meantime, FDIA can only utilize less-than-perfect system information in practice [7].”
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids (2020, background): “Authors of [26] illustrate several possible cyber-based FDIA and the associated impacts in the power grid.”