Smart Grid Co-Simulation Tools: Review and Cybersecurity Case Study

Le, Tan Duy; Anwar, Adnan; Beuran, Răzvan; Loke, Seng W.

doi:10.1109/icsmartgrid48354.2019.8990712

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…In [25], potential vulnerabilities in SG are investigated along with classifying cyber-attacks based on confidentiality, integrity, availability, and accountability. The impact of FDI and jamming attacks are surveyed by conducting experiments using co-simulation tools in [53]. In this context, the authors reviewed various co-simulation tool and their characteristics applicable to SG research.…”

Section: Existing Surveysmentioning

confidence: 99%

Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A Review

et al. 2023

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The smart grid, regarded as the complex cyber-physical ecosystem of infrastructures, orchestrates advanced communication, computation, and control technologies to interact with the physical environment. Due to the high rewards that threats to the grid can realize, adversaries can mount complex cyber-attacks such as advanced persistent threats-based and coordinated attacks to cause operational malfunctions and power outages in the worst scenarios: The latter of which was reflected in the Ukrainian power grid attack. Despite widespread research on smart grid security, the impact of targeted attacks on control and power systems is anecdotal. This paper reviews the smart grid security from collaborative factors, emphasizing the situational awareness. Specifically, we propose a threat modeling framework and review the nature of cyber-physical attacks to understand their characteristics and impacts on the smart grid’s control and physical systems. We examine the existing threats detection and defense capabilities, such as intrusion detection systems, moving target defense, and co-simulation techniques, along with discussing the impact of attacks through situational awareness and power system metrics. We discuss the human factor aspects for power system operators in analyzing the impacts of cyber-attacks. Finally, we investigate the research challenges with key research gaps to shed light on future research directions.

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Section: Existing Surveysmentioning

confidence: 99%

Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A Review

et al. 2023

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“…GridLab-D employs end-use models, such as the consumer, equipment and application, operations and business simulation tools, retail market models, agent-based modeling methodologies, and SynerGEE's power distribution model [143]. In addition, it can incorporate third-party analysis software and data management [144].…”

Section: Gridlab-dmentioning

confidence: 99%

Internet of Things: A Comprehensive Overview on Protocols, Architectures, Technologies, Simulation Tools, and Future Directions

et al. 2023

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The Internet of Things (IoT) is a global network of interconnected computing, sensing, and networking devices that can exchange data and information via various network protocols. It can connect numerous smart devices thanks to recent advances in wired, wireless, and hybrid technologies. Lightweight IoT protocols can compensate for IoT devices with restricted hardware characteristics in terms of storage, Central Processing Unit (CPU), energy, etc. Hence, it is critical to identify the optimal communication protocol for system architects. This necessitates an evaluation of next-generation networks with improved characteristics for connectivity. This paper highlights significant wireless and wired IoT technologies and their applications, offering a new categorization for conventional IoT network protocols. It provides an in-depth analysis of IoT communication protocols with detailed technical information about their stacks, limitations, and applications. The study further compares industrial IoT-compliant devices and software simulation tools. Finally, the study provides a summary of the current challenges, along with a broad overview of the future directions to tackle the challenges, in the next IoT generation. This study aims to provide a comprehensive primer on IoT concepts, protocols, and future insights that academics and professionals can use in various contexts.

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“…The modified environment, as well the learning agent implementations, can be found on the project's GitHub repository 1 .…”

Section: A Coupled Network Environmentmentioning

confidence: 99%

“…The modernization of electric grids are bringing increased efficiency and new functionalities to consumers via two-way communication between various components of the network [1]. However, by adding more sophisticated communication to the grid, numerous cybersecurity vulnerabilities are introduced [2,3,4].…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning Game Theoretic Model for Defending Against Large Scale Smart Grid Attacks

Cunningham

Aved

Ferris

et al. 2023

IEEE Trans. Smart Grid

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Power grids that are interdependent with communication networks create more possible modes of failure (e.g., cyberattacks) as well as more complex propagation of failure through the coupled networks. To ensure robust defense of smart grids, it is important to model both attacker and defender as intelligent, a scenario that the framework of game theory provides methods to analyze. However, prior works in applying game theoretic models to smart grid security limit the problem space to a small number targets under threat due to the inability of state-of-the-art methods to scale to large networks. Our method scales to large networks by combining neural networks that use featurized action representations with an approximation of large combinatorial actions to generalize knowledge about the best targets to attack/defend across graphs of various topologies and sizes. Our model's invariance to the size of the input graph allows us to transfer knowledge from games played on small graphs during training to large graphs during evaluation. Our experiments show that our method can learn Nash equilibrium strategies on small networks, and demonstrate low exploitability when generalized to large networks, especially compared to the common heuristics currently used to simulate attacks on large graphs.

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Smart Grid Co-Simulation Tools: Review and Cybersecurity Case Study

Cited by 15 publications

References 10 publications

Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A Review

Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A Review

Internet of Things: A Comprehensive Overview on Protocols, Architectures, Technologies, Simulation Tools, and Future Directions

A Deep Learning Game Theoretic Model for Defending Against Large Scale Smart Grid Attacks

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