Cited By
View all- Navarro-Arribas GTorra V(2024)Attribute Disclosure Risk in Smart Meter DataPrivacy in Statistical Databases10.1007/978-3-031-69651-0_18(274-283)Online publication date: 25-Sep-2024
K-anonymity applied to the energy grid of things distributed energy resource management system
Pages 581 - 582
Abstract
The violation of information privacy in Smart Grids can be a significant barrier to customers' participation. Employing privacy protection models such as K-anonymity in a Smart Grid implementation adds desirable privacy guarantees. This work provides an approach to applying the Mondrian algorithm 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.
References
[1]
2018. Common Smart Inverter Profile: IEEE 2030.5 Implementation Guide for Smart Inverters, Version 2.1. CSIP Working Group.
[2]
K. LeFevre, D.J. DeWitt, and R. Ramakrishnan. 2006. Mondrian Multidimensional K-Anonymity. In 22nd Int. Conf. on Eng. 25--25.
[3]
T. Slay and R. Bass. 2021. An Energy Service Interface for Distributed Energy Resources. In IEEE Conf. on Tech. for Sustain.
Index Terms
- K-anonymity applied to the energy grid of things distributed energy resource management system
Recommendations
k-anonymity: a model for protecting privacy
Consider a data holder, such as a hospital or a bank, that has a privately held collection of person-specific, field structured data. Suppose the data holder wants to share a version of the data with researchers. How can a data holder release a version ...
Privacy-preserving distributed k-anonymity
DBSec'05: Proceedings of the 19th annual IFIP WG 11.3 working conference on Data and Applications Securityk-anonymity provides a measure of privacy protection by preventing re-identification of data to fewer than a group of k data items. While algorithms exist for producing k-anonymous data, the model has been that of a single source wanting to publish ...
Privacy, traceability, and anonymity for content protection
PST '06: Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business ServicesIn this paper we are concerned with the privacy, traceability and anonymity for content distribution and protection applications. We believe for many content protection applications, privacy friendly anonymous trust is needed. We argue broadcast ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
June 2022
668 pages
ISBN:9781450391856
DOI:10.1145/3498361
- General Chairs:
- Nirupama Bulusu,
- Ehsan Aryafar,
- Program Chairs:
- Aruna Balasubramanian,
- Junehwa Song
Copyright © 2022 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 June 2022
Check for updates
Author Tags
Qualifiers
- Poster
Funding Sources
Conference
MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services
June 27 - July 1, 2022
Oregon, Portland
Acceptance Rates
Overall Acceptance Rate 274 of 1,679 submissions, 16%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 142Total Downloads
- Downloads (Last 12 months)77
- Downloads (Last 6 weeks)10
Reflects downloads up to 03 Mar 2025
Other Metrics
Citations
Cited By
View all- Navarro-Arribas GTorra V(2024)Attribute Disclosure Risk in Smart Meter DataPrivacy in Statistical Databases10.1007/978-3-031-69651-0_18(274-283)Online publication date: 25-Sep-2024
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in