Cybersecurity in Cyber–Physical Power Systems

Monteiro, Luiz F. R.; Rodrigues, Yuri R.; Souza, Arthur

doi:10.3390/en16124556

Cited by 10 publications

(4 citation statements)

References 138 publications

(394 reference statements)

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“…Power systems are complex infrastructures in modern society and are vulnerable to cybersecurity threats [ 78 , 79 ]. Dagoumas [ 80 ] has used IEEE RTS 96 power system, and the author highlighted that a combination of operating conditions and cyber-attacks should be used to evaluate system stability.…”

Section: Resultsmentioning

confidence: 99%

Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations

Saeed,

Altamimi,

Alkayyal

et al. 2023

Sensors

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This systematic literature review explores the digital transformation (DT) and cybersecurity implications for achieving business resilience. DT involves transitioning organizational processes to IT solutions, which can result in significant changes across various aspects of an organization. However, emerging technologies such as artificial intelligence, big data and analytics, blockchain, and cloud computing drive digital transformation worldwide while increasing cybersecurity risks for businesses undergoing this process. This literature survey article highlights the importance of comprehensive knowledge of cybersecurity threats during DT implementation to prevent interruptions due to malicious activities or unauthorized access by attackers aiming at sensitive information alteration, destruction, or extortion from users. Cybersecurity is essential to DT as it protects digital assets from cyber threats. We conducted a systematic literature review using the PRISMA methodology in this research. Our literature review found that DT has increased efficiency and productivity but poses new challenges related to cybersecurity risks, such as data breaches and cyber-attacks. We conclude by discussing future vulnerabilities associated with DT implementation and provide recommendations on how organizations can mitigate these risks through effective cybersecurity measures. The paper recommends a staged cybersecurity readiness framework for business organizations to be prepared to pursue digital transformation.

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Section: Resultsmentioning

confidence: 99%

Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations

Saeed,

Altamimi,

Alkayyal

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Due to a cyber-attack brought on by malware known as BlackEnergy in control center computers, Ukraine's power infrastructure failed in December 2015, knocking out thousands of homes and facilities. A significant percentage of consumers would lose power due to such malfunctions and cyber-attacks, and very sensitive and mission-critical equipment may suffer serious harm [10][11][12][13][14][15]. Table 1 summarizes the actual reported cyber-attacks on the energy industry [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A Review of AI-Based Cyber-Attack Detection and Mitigation in Microgrids

Beg,

Khan,

Rehman

et al. 2023

Energies

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In this paper, the application and future vision of Artificial Intelligence (AI)-based techniques in microgrids are presented from a cyber-security perspective of physical devices and communication networks. The vulnerabilities of microgrids are investigated under a variety of cyber-attacks targeting sensor measurements, control signals, and information sharing. With the inclusion of communication networks and smart metering devices, the attack surface has increased in microgrids, making them vulnerable to various cyber-attacks. The negative impact of such attacks may render the microgrids out-of-service, and the attacks may propagate throughout the network due to the absence of efficient mitigation approaches. AI-based techniques are being employed to tackle such data-driven cyber-attacks due to their exceptional pattern recognition and learning capabilities. AI-based methods for cyber-attack detection and mitigation that address the cyber-attacks in microgrids are summarized. A case study is presented showing the performance of AI-based cyber-attack mitigation in a distributed cooperative control-based AC microgrid. Finally, future potential research directions are provided that include the application of transfer learning and explainable AI techniques to increase the trust of AI-based models in the microgrid domain.

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“…The energy facilities forming modern integrated energy systems are cyber-physical objects interacting with each other in a distributed area and functioning to ensure a reliable and efficient energy supply to consumers. Managing and operating such facilities at all stages of the life cycle becomes a complex multi-factorial problem with many uncertain parameters and rapidly changing processes [1][2][3][4]. One of the key targets for the functioning of cyber-physical energy facilities is the management and control of their reliability, which involves the solution of a number of methodological problems.…”

Section: Introductionmentioning

confidence: 99%

Modeling Unpredictable Behavior of Energy Facilities to Ensure Reliable Operation in a Cyber-Physical System

Postnikov,

Samarkina,

Penkovskii

et al. 2023

Energies

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This research focuses on exploring various techniques and models for simulating the random behavior of energy facilities or systems. These simulations are essential in identifying the likelihood of component failures within the studied facilities. By assessing the potential consequences of emergency scenarios, this analysis serves as a fundamental aspect of synthesizing and analyzing reliability in the cyber-physical system. Ultimately, the study aims to enhance the management and control of reliability and safety for these facilities. In this study, a unified heating source is considered as an energy facility (as part of district heating systems), for example, a combined heat and power plant. However, the developed methods and models have sufficient universality for their adaptation to other energy facilities without significant changes. The research methodology is based on the use of Markov random processes and laws of the probability theory. The basic model of the energy facilities is formulated for the conditions of the simplest events flow with appropriate assumptions and constraints, in particular, ordinary events and independence of events (failures and restorations). To take into account the non-ordinary events (failures) and dependences between some failures, corresponding modifications of the basic model are proposed. A computational experiment was carried out using the developed models, and graphical interpretations of the results are presented. The obtained results allow us to formulate some preliminary conclusions about the range of influence of the simulated factors on the reliability analysis of studied facilities and to outline conditions and areas of their admissible application.

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Cybersecurity in Cyber–Physical Power Systems

Cited by 10 publications

References 138 publications

Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations

Digital Transformation and Cybersecurity Challenges for Businesses Resilience: Issues and Recommendations

A Review of AI-Based Cyber-Attack Detection and Mitigation in Microgrids

Modeling Unpredictable Behavior of Energy Facilities to Ensure Reliable Operation in a Cyber-Physical System

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