Published In
2024 Portland International Conference on Management of Engineering and Technology (PICMET)
Document Type
Conference Proceeding
Publication Date
8-1-2024
Abstract
The security of the power grid is essential for the proper function of a democratic society, yet it is constantly under threat. The internet of things (loT) will make a bad situation much worse. Misinformation, disinformation, and malinformation (MDM) have been identified as serious threats to our democratic institutions, and that same acronym applies to mobile device management (MDM), and these devices have become ubiquitous. People are notoriously bad at doing basic cybersecurity. With trillions of devices and remote access everywhere, what could possibly go wrong? Now add in the engaging opportunity of distributed energy resources (DERs) and life gets very interesting. Supervisory control and data acquisition (SCADA) systems may require substantial upgrades to meet minimal cybersecurity standards. Balancing the demand-response system is much more complex, especially if the islanding of neighborhoods is promoted within a Smart Grid. Artificial Intelligence (AI) may assist in daily operations, but also poses a potential threat. This paper uses a literature review to assess the current technology management status and evaluate the impetus for progress against future threats.
Rights
Copyright 2024 by PICMET
Locate the Document
DOI
10.23919/PICMET64035.2024.10653094
Persistent Identifier
https://archives.pdx.edu/ds/psu/42717
Publisher
IEEE
Citation Details
Corbett, C., Weber, C. M., & Anderson, T. R. (2024). Smart Grid Cybersecurity in the Age of Artificial Intelligence. 2024 Portland International Conference on Management of Engineering and Technology (PICMET), 1–8. https://doi.org/10.23919/picmet64035.2024.10653094
Included in
Other Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Engineering Commons
Description
This is the publisher's final PDF. Paper delivered at the 2024 Proceedings of PICMET '24: Technology Management in the Artificial Intelligence Era.
Archived with permissions.