Multi-Agent modeling of a meters network used in Smart Grid

Garrab, Asma; Bouallegue, Adel; Bouallègue, Ridha

doi:10.1109/wccais.2014.6916584

Cited by 4 publications

(1 citation statement)

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“…MAS has been implemented in microgrids [59], demand side management [60], smart meters [61], optimal power flow and energy-sharing [62], and Smart Grid simulation [63].…”

Section: Multi-agent Systems (Mass)mentioning

confidence: 99%

A Trust-Influenced Smart Grid: A Survey and a Proposal

Boakye-Boateng

Ghorbani

Lashkari

2022

JSAN

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A compromised Smart Grid, or its components, can have cascading effects that can affect lives. This has led to numerous cybersecurity-centric studies focusing on the Smart Grid in research areas such as encryption, intrusion detection and prevention, privacy and trust. Even though trust is an essential component of cybersecurity research; it has not received considerable attention compared to the other areas within the context of Smart Grid. As of the time of this study, we observed that there has neither been a study assessing trust within the Smart Grid nor were there trust models that could detect malicious attacks within the substation. With these two gaps as our objectives, we began by presenting a mathematical formalization of trust within the context of Smart Grid devices. We then categorized the existing trust-based literature within the Smart Grid under the NIST conceptual domains and priority areas, multi-agent systems and the derived trust formalization. We then proposed a novel substation-based trust model and implemented a Modbus variation to detect final-phase attacks. The variation was tested against two publicly available Modbus datasets (EPM and ATENA H2020) under three kinds of tests, namely external, internal, and internal with IP-MAC blocking. The first test assumes that external substation adversaries remain so and the second test assumes all adversaries within the substation. The third test assumes the second test but blacklists any device that sends malicious requests. The tests were performed from a Modbus server’s point of view and a Modbus client’s point of view. Aside from detecting the attacks within the dataset, our model also revealed the behaviour of the attack datasets and their influence on the trust model components. Being able to detect all labelled attacks in one of the datasets also increased our confidence in the model in the detection of attacks in the other dataset. We also believe that variations of the model can be created for other OT-based protocols as well as extended to other critical infrastructures.

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“…MAS has been implemented in microgrids [59], demand side management [60], smart meters [61], optimal power flow and energy-sharing [62], and Smart Grid simulation [63].…”

Section: Multi-agent Systems (Mass)mentioning

confidence: 99%