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Differential privacy EV charging data release based on variable window
In the V2G network, the release and sharing of real-time data are of great value for data mining. However, publishing these data directly to service providers may reveal the privacy of users. Therefore, it is necessary that the data release model with a privacy protection mechanism protects user pri...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080421/ https://www.ncbi.nlm.nih.gov/pubmed/33981840 http://dx.doi.org/10.7717/peerj-cs.481 |
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author | Qiu, Rixuan Liu, Xiong Huang, Rong Zheng, Fuyong Liang, Liang Li, Yuancheng |
author_facet | Qiu, Rixuan Liu, Xiong Huang, Rong Zheng, Fuyong Liang, Liang Li, Yuancheng |
author_sort | Qiu, Rixuan |
collection | PubMed |
description | In the V2G network, the release and sharing of real-time data are of great value for data mining. However, publishing these data directly to service providers may reveal the privacy of users. Therefore, it is necessary that the data release model with a privacy protection mechanism protects user privacy in the case of data utility. In this paper, we propose a privacy protection mechanism based on differential privacy to protect the release of data in V2G networks. To improve the utility of the data, we define a variable sliding window, which can dynamically and adaptively adjust the size according to the data. Besides, to allocate the privacy budget reasonably in the variable window, we consider the sampling interval and the proportion of the window. Through experimental analysis on real data sets, and comparison with two representative w event privacy protection methods, we prove that the method in this paper is superior to the existing schemes and improves the utility of the data. |
format | Online Article Text |
id | pubmed-8080421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80804212021-05-11 Differential privacy EV charging data release based on variable window Qiu, Rixuan Liu, Xiong Huang, Rong Zheng, Fuyong Liang, Liang Li, Yuancheng PeerJ Comput Sci Algorithms and Analysis of Algorithms In the V2G network, the release and sharing of real-time data are of great value for data mining. However, publishing these data directly to service providers may reveal the privacy of users. Therefore, it is necessary that the data release model with a privacy protection mechanism protects user privacy in the case of data utility. In this paper, we propose a privacy protection mechanism based on differential privacy to protect the release of data in V2G networks. To improve the utility of the data, we define a variable sliding window, which can dynamically and adaptively adjust the size according to the data. Besides, to allocate the privacy budget reasonably in the variable window, we consider the sampling interval and the proportion of the window. Through experimental analysis on real data sets, and comparison with two representative w event privacy protection methods, we prove that the method in this paper is superior to the existing schemes and improves the utility of the data. PeerJ Inc. 2021-04-22 /pmc/articles/PMC8080421/ /pubmed/33981840 http://dx.doi.org/10.7717/peerj-cs.481 Text en ©2021 Qiu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Algorithms and Analysis of Algorithms Qiu, Rixuan Liu, Xiong Huang, Rong Zheng, Fuyong Liang, Liang Li, Yuancheng Differential privacy EV charging data release based on variable window |
title | Differential privacy EV charging data release based on variable window |
title_full | Differential privacy EV charging data release based on variable window |
title_fullStr | Differential privacy EV charging data release based on variable window |
title_full_unstemmed | Differential privacy EV charging data release based on variable window |
title_short | Differential privacy EV charging data release based on variable window |
title_sort | differential privacy ev charging data release based on variable window |
topic | Algorithms and Analysis of Algorithms |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080421/ https://www.ncbi.nlm.nih.gov/pubmed/33981840 http://dx.doi.org/10.7717/peerj-cs.481 |
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