Distributed Energy Resource Management Systems: Preserving Customer Privacy through K-Anonymity

Alsaid, Mohammed; Bulusu, Nirupama; Adham, Midrar; Bass, Robert B.

doi:10.1109/pesgm52003.2023.10252650

Distributed Energy Resource Management Systems: Preserving Customer Privacy through K-Anonymity

Conference · 16 July 2023 · 2023 IEEE Power & Energy Society General Meeting (PESGM)

DOI:https://doi.org/10.1109/pesgm52003.2023.10252650· OSTI ID:2007044

^[1]; Bulusu, Nirupama ^[1]; ^[2]; ^[2]

Portland State University,Computer Science,Portland,OR,USA
Portland State University,Electrical and Computer Engineering,Portland,OR,USA

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.

Research Organization:: Portland State Univ., OR (United States)

Sponsoring Organization:: USDOE Office of Electricity (OE)

DOE Contract Number:: OE0000922

OSTI ID:: 2007044

Journal Information:: 2023 IEEE Power & Energy Society General Meeting (PESGM), Conference: 2023 IEEE Power & Energy Society General Meeting (PESGM)

Country of Publication:: United States

Language:: English

References (13)

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Developing a Distributed Trust Model for Distributed Energy Resources Fernando, N. Sonali; Acken, John M.; Bass, Robert B. 2021 IEEE Conference on Technologies for Sustainability (SusTech) https://doi.org/10.1109/SusTech51236.2021.9467436	conference	April 2021
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GridPriv: A Smart Metering Architecture Offering k-Anonymity Stegelmann, Mark; Kesdogan, Dogan 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications https://doi.org/10.1109/TrustCom.2012.170	conference	June 2012
Utility-based anonymization using local recoding Xu, Jian; Wang, Wei; Pei, Jian Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining https://doi.org/10.1145/1150402.1150504	conference	August 2006
Decentralized Trust Management Fan, Xinxin; Liu, Ling; Zhang, Rui ACM Computing Surveys, Vol. 53, Issue 1 https://doi.org/10.1145/3362168	journal	February 2020
Privacy-preserving Information Security for the Energy Grid of Things Alsaid, Mohammed; Bulusu, Nirupama; Bargouti, Abdullah Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems https://doi.org/10.5220/0011050000003203	conference	January 2022
A Field Test of Direct Load Control of Water Heaters and its Implications for Consumers Adham, Midrar A.; Obi, Manasseh; Bass, Robert B. 2022 IEEE Power & Energy Society General Meeting (PESGM) https://doi.org/10.1109/PESGM48719.2022.9917234	conference	July 2022
On Location Privacy-Preserving Online Double Auction for Electric Vehicles in Microgrids Li, Donghe; Yang, Qingyu; An, Dou IEEE Internet of Things Journal, Vol. 6, Issue 4 https://doi.org/10.1109/JIOT.2018.2872444	journal	August 2019
Aggregation of Residential Water Heaters for Peak Shifting and Frequency Response Services Clarke, Thomas; Slay, Tylor; Eustis, Conrad IEEE Open Access Journal of Power and Energy, Vol. 7 https://doi.org/10.1109/OAJPE.2019.2952804	journal	January 2020
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