Physical and Cybersecurity in a Smart Grid Environment

Xie, Jing; Ştefanov, Alexandru; Liu, Chen‐Ching

doi:10.1002/9781119508311.ch5

Cited by 5 publications

(3 citation statements)

References 86 publications

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“…7) Poor grid operating physical-world. These possible concerns are typical issues that arise from natural or not natural physical harm [138], and there are several established techniques and approaches of prevention available. These physical weaknesses, on the other hand, have the ability to assist a concerted cyberattack, a mixture of local and opponent intrusions.…”

Section: B Physical Components Securitymentioning

confidence: 99%

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A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid

Mohammed,

Al-Jumaily,

Singh

et al. 2024

IEEE Access

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The Smart Grid is a modern power grid that relies on advanced technologies to provide reliable and sustainable electricity. However, its integration with various communication technologies and IoT devices makes it vulnerable to cyber-attacks. Such attacks can lead to significant damage, economic losses, and public safety hazards. To ensure the security of the smart grid, increasingly strong security solutions are needed. This paper provides a comprehensive analysis of the vulnerabilities of the smart grid and the different approaches for detecting cyber-attacks. It examines the different vulnerabilities of the smart grid, including system vulnerabilities and cyber-attacks, and discusses the vulnerabilities of all its elements. The paper also investigates various approaches for detecting cyber-attacks, including rule-based, signature-based, anomaly detection, and ma-chine learning-based methods, with a focus on their effectiveness and related research. Finally, prospective cybersecurity approaches for the smart grid, such as AI approaches and blockchain, are discussed along with the challenges and future prospects of cyberattacks on the smart grid. The paper's findings can help policymakers and stakeholders make informed decisions about the security of the smart grid and develop effective strategies to protect it from cyber-attacks.

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Section: B Physical Components Securitymentioning

confidence: 99%

“…This integration of OT and IT is altering the mindset and method to smart grid cyber-security. At the same time, all of IT/weaknesses OTs constitute a danger element to the whole grid system [138].…”

Section: Vulnerabilities In It/otmentioning

confidence: 99%

A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid

Mohammed,

Al-Jumaily,

Singh

et al. 2024

IEEE Access

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show abstract

“…These potential risks are traditional problems that also originate from natural or man-made physical damage [27], and there are also many proven means and methods of protection. However, these physical vulnerabilities have the potential to facilitate a possible coordinated cyberattack, a combination of local and adversary cyberattacks.…”

Section: Vulnerabilities In Physical Componentsmentioning

confidence: 99%

Cyber Threats to Smart Grids: Review, Taxonomy, Potential Solutions, and Future Directions

et al. 2022

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Smart Grids (SGs) are governed by advanced computing, control technologies, and networking infrastructure. However, compromised cybersecurity of the smart grid not only affects the security of existing energy systems but also directly impacts national security. The increasing number of cyberattacks against the smart grid urgently necessitates more robust security protection technologies to maintain the security of the grid system and its operations. The purpose of this review paper is to provide a thorough understanding of the incumbent cyberattacks’ influence on the entire smart grid ecosystem. In this paper, we review the various threats in the smart grid, which have two core domains: the intrinsic vulnerability of the system and the external cyberattacks. Similarly, we analyze the vulnerabilities of all components of the smart grid (hardware, software, and data communication), data management, services and applications, running environment, and evolving and complex smart grids. A structured smart grid architecture and global smart grid cyberattacks with their impact from 2010 to July 2022 are presented. Then, we investigated the the thematic taxonomy of cyberattacks on smart grids to highlight the attack strategies, consequences, and related studies analyzed. In addition, potential cybersecurity solutions to smart grids are explained in the context of the implementation of blockchain and Artificial Intelligence (AI) techniques. Finally, technical future directions based on the analysis are provided against cyberattacks on SGs.

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Cybersecurity Technology Roadmap: Data and Information Security for Smart Grid Industry

Yaddanapudi,

Chaudhary,

Alabdulaziz

et al. 2023

Applied Innovation and Technology Management

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Physical and Cybersecurity in a Smart Grid Environment

Cited by 5 publications

References 86 publications

A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid

A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid

Cyber Threats to Smart Grids: Review, Taxonomy, Potential Solutions, and Future Directions

Cybersecurity Technology Roadmap: Data and Information Security for Smart Grid Industry

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