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Evolutionary Game for Confidentiality in IoT-Enabled Smart Grids

Norwegian Computing Center, P.O. Box 114, Blindern, 0314 Oslo, Norway
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Information 2020, 11(12), 582; https://doi.org/10.3390/info11120582
Received: 30 October 2020 / Revised: 1 December 2020 / Accepted: 8 December 2020 / Published: 14 December 2020
(This article belongs to the Special Issue Security and Privacy in IoT Systems (SPIoTS))
We applied evolutionary game theory to extend a resource constrained security game model for confidentiality attacks and defenses in an Advanced Metering Infrastructure (AMI), which is a component of IoT-enabled Smart Grids. The AMI is modeled as a tree structure where each node aggregates the information of its children before encrypting it and passing it on to its parent. As a part of the model, we developed a discretization scheme for solving the replicator equations. The aim of this work was to explore the space of possible behaviors of attackers and to develop a framework where the AMI nodes adaptively select the most profitable strategies. Using this model, we simulated the evolution of a population of attackers and defenders on various cases resembling the real life implementation of AMI. We discuss in depth how to enhance security in AMI using evolutionary game theory either by a priori analysis or as a tool to run dynamic and adaptive infrastructure defense. View Full-Text
Keywords: adaptive security; evolutionary game; Internet of Things; advanced metering infrastructure; smart home adaptive security; evolutionary game; Internet of Things; advanced metering infrastructure; smart home
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MDPI and ACS Style

Boudko, S.; Aursand, P.; Abie, H. Evolutionary Game for Confidentiality in IoT-Enabled Smart Grids. Information 2020, 11, 582. https://doi.org/10.3390/info11120582

AMA Style

Boudko S, Aursand P, Abie H. Evolutionary Game for Confidentiality in IoT-Enabled Smart Grids. Information. 2020; 11(12):582. https://doi.org/10.3390/info11120582

Chicago/Turabian Style

Boudko, Svetlana; Aursand, Peder; Abie, Habtamu. 2020. "Evolutionary Game for Confidentiality in IoT-Enabled Smart Grids" Information 11, no. 12: 582. https://doi.org/10.3390/info11120582

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