Sponsor
This work was performed under US DOE agreement DE- OE0000922.
Published In
2023 IEEE Conference on Technologies for Sustainability (SusTech)
Document Type
Post-Print
Publication Date
4-2023
Subjects
Computer networks -- Security measures, Electric utilities -- Security measures, Smart power grids -- Communication systems -- Security measures, Distributed resources (Electric utilities)
Abstract
Network communication is crucial in the Energy Grid of Things (EGoT). Without a network connection, the energy grid becomes just a power grid where the energy resources are available to the customer uni-directionally. A mechanism to analyze and optimize the energy usage of the grid can only happen through a medium, a communications network, that enables information exchange between the grid participants and the service provider. Security implementers of EGoT network communication take extraordinary measures to ensure the safety of the energy grid, a critical infrastructure, as well as the safety and privacy of the grid participants. With the dynamic nature of network communication of the EGoT, the information provided by the customer or the service provider can be falsified by a malicious attacker. Therefore, a trust model is necessary to monitor any abnormal activities. This paper describes a distributed trust model system that meets the need of the EGoT. This paper describes methods for evaluating and improving the distributed trust model using standard hypothesis testing metrics such as true positive, false positive, true negative, false negative, equal error rate, and F1 score. Example calculations are shown based on generated sample data.
Rights
© 2023 IEEE
DOI
10.1109/SusTech57309.2023.10129594
Persistent Identifier
https://archives.pdx.edu/ds/psu/40117
Citation Details
N. S. Fernando, Z. Zeng, J. M. Acken and R. B. Bass, "Trust Model System for the Energy Grid of Things Network Communications," [POST-PRINT] 2023 IEEE Conference on Technologies for Sustainability (SusTech), Portland, OR, USA, 2023, pp. 280-287.
Description
This is the author’s version of a work that was accepted for publication in 2023 IEEE Conference on Technologies for Sustainability (SusTech). Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in 2023 IEEE Conference on Technologies for Sustainability (SusTech).