Enhancing Cybersecurity in Smart Grids: False Data Injection and Its Mitigation

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Date

2021

Journal Title

Journal ISSN

Volume Title

Publisher

MDPI

Open Access Color

GOLD

Green Open Access

Yes

OpenAIRE Downloads

49

OpenAIRE Views

92

Publicly Funded

No
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Top 10%
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Top 10%
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Top 10%

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Journal Issue

Abstract

Integration of information technologies with power systems has unlocked unprecedented opportunities in optimization and control fields. Increased data collection and monitoring enable control systems to have a better understanding of the pseudo-real-time condition of power systems. In this fashion, more accurate and effective decisions can be made. This is the key towards mitigating negative impacts of novel technologies such as renewables and electric vehicles and increasing their share in the overall generation portfolio. However, such extensive information exchange has created cybersecurity vulnerabilities in power systems that were not encountered before. It is imperative that these vulnerabilities are understood well, and proper mitigation techniques are implemented. This paper presents an extensive study of cybersecurity concerns in Smart grids in line with latest developments. Relevant standardization and mitigation efforts are discussed in detail and then the classification of different cyber-attacks in smart grid domain with special focus on false data injection (FDI) attack, due to its high impact on different operations. Different uses of this attack as well as developed detection models and methods are analysed. Finally, impacts on smart grid operation and current challenges are presented for future research directions.

Description

Unsal, Derya Betul/0000-0002-7657-7581; Ustun, Taha Selim/0000-0002-2413-8421; Hussain, S. M. Suhail/0000-0002-7779-8140; Onen, Ahmet/0000-0001-7086-5112;

Keywords

Smart Grid Cybersecurity, False Data Injection, Power System Operation, Power System Protection, Cybersecurity Attacks, Intruder Detection, Cybersecurity For Scada Systems, Technology, T, false data injection, intruder detection, 600, cybersecurity for scada systems, smart grid cybersecurity, power system operation, power system protection, cybersecurity attacks, smart grid cybersecurity; false data injection; power system operation; power system protection; cybersecurity attacks; intruder detection; cybersecurity for scada systems

Turkish CoHE Thesis Center URL

Fields of Science

0211 other engineering and technologies, 02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering

Citation

WoS Q

Q3

Scopus Q

Q2
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OpenCitations Citation Count
32

Source

Energies

Volume

14

Issue

9

Start Page

2657

End Page

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Citations

CrossRef : 40

Scopus : 43

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Mendeley Readers : 113

SCOPUS™ Citations

43

checked on Feb 03, 2026

Web of Science™ Citations

32

checked on Feb 03, 2026

Page Views

1

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