Expert-Guided Security Risk Assessment of Evolving Power Grids

Borenius, Seppo; Gopalakrishnan, Pavithra; Tjernberg, Lina Bertling; Kantola, Raimo

doi:10.3390/en15093237

Cited by 13 publications

(8 citation statements)

References 17 publications

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“…As a result, smart grids are a typical SoS. Every vulnerability in just about any component of the complicated advanced systems endangers the smart grid, and the dynamism and intricacy end up making vulnerability identification and treatment much more difficult [148,149]. Vulnerability assessment, identification, and restoration must be handled methodically and in tandem with cyberattack evaluation.…”

Section: G Evolving and Complex Smart Grids Securitymentioning

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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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: G Evolving and Complex Smart Grids Securitymentioning

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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“…Control Systems Security: Protects the operational technology (OT) and supervisory control and data acquisition (SCADA) systems that manage and monitor power grid operations [40]. Securing these control systems involves implementing firewalls, authentication mechanisms, encryption, and continuous monitoring to prevent unauthorized access and manipulation [41]. Risk Assessment and Management: Conducting thorough risk assessments to identify vulnerabilities and potential entry points for cyber attacks is crucial.…”

Section: Components Of Power Grid Cybersecuritymentioning

confidence: 99%

Safeguarding Stability: Strategies for Addressing Dynamic System Variations in Power Grid Cybersecurity

Guzman Erick,

Fatehi Navid

2023

EPHIJSE

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The power grid stands as a critical infrastructure supporting modern society, yet it remains susceptible to cyber threatsthat could compromise its stability and functionality. Addressing the dynamic variations and evolving challenges posedby cyber threats requires robust strategies in cybersecurity. This paper investigates methods to safeguard the stability ofthe power grid against cyber intrusions and system variations. This study delves into the multifaceted nature of cyberthreats targeting the power grid and analyzes the dynamic variations within the system that could be exploited bymalicious actors. This paper presents a comprehensive framework encompassing proactive and reactive cybersecuritymeasures. Reactive measures include incident response plans, rapid recovery protocols, and the integration of machinelearning and artificial intelligence for real-time threat detection and mitigation. Moreover, considering the interconnectednature of the power grid, this study explores collaborative approaches among stakeholders, such as utility companies,government bodies, regulatory authorities, and cybersecurity experts, to foster information sharing, best practices, andstandardized protocols. Ultimately, this paper serves as a guide for policymakers, grid operators, and cybersecurityprofessionals to develop robust strategies that safeguard the stability of the power grid in the face of evolving cyberthreats and system dynamics. By implementing a holistic cybersecurity approach, the aim is to ensure resilience,reliability, and continuity in the delivery of electricity to society

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“…This makes smart grids a typical SoS (system of systems). Any vulnerability in any part of the complex systems puts the smart grid at risk, and the dynamics and complexity make vulnerability detection and remediation even more challenging [38,39].…”

Section: Vulnerabilities In Evolving and Complex Smart Gridsmentioning

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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Expert-Guided Security Risk Assessment of Evolving Power Grids

Cited by 13 publications

References 17 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

Safeguarding Stability: Strategies for Addressing Dynamic System Variations in Power Grid Cybersecurity

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

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