Distributed Energy Resource Management Systems: Preserving Customer Privacy through K-Anonymity
Published In
2023 IEEE Power & Energy Society General Meeting (PESGM)
Document Type
Citation
Publication Date
2023
Abstract
The smart grid represents the next generation of electricity distribution systems that utilizes recent technological innovations. It uses digital communication between its components and entities to attain more automation, self-sufficiency, and reliability. One of the many concerns in smart grid digital communication discussions is the possibility of violating customers’ privacy. Violating customers’ privacy imposes a significant barrier as smart grid desirable attributes are tightly tied to customers’ participation. Employing privacy models can address concerns regarding information privacy in smart grid digital communication. In this work, we provide an approach to utilizing K-anonymity to ensure data within the system excludes Personally Identifiable Information. Results suggest that a dynamically generated generalization hierarchy minimizes information loss incurred by the anonymization process.
Rights
© IEEE
DOI
10.1109/PESGM52003.2023.10252650
Persistent Identifier
https://archives.pdx.edu/ds/psu/40895
Citation Details
M. Alsaid, N. Bulusu, M. Adham and R. B. Bass, "Distributed Energy Resource Management Systems: Preserving Customer Privacy through K-Anonymity," 2023 IEEE Power & Energy Society General Meeting (PESGM), Orlando, FL, USA, 2023, pp. 1-5, doi: 10.1109/PESGM52003.2023.10252650.