The DOI matches its Crossref record; 20 of the 21 references it cites were found in a registry or an index.
Differential privacy EV charging data release based on variable window
Open accessAbstract
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.
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“Authors in [111] proposed differential privacy mechanism for protecting sensitive EV charging data in V2G networks, using sampling intervals and sliding windows.”
From Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction (2025) · cites this paper as [111]
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Cites
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Real-time and Spatio-temporal Crowd-sourced Social Network Data Publishing with Differential Privacy
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Real-Time Privacy-Preserving Data Release Over Vehicle Trajectory
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Self-citationPrivacy-preserving data publishing for multiple numerical sensitive attributes
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Improved Kalman filter based differentially private streaming data release in cognitive computing
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Self-citationAnonymizing Healthcare Records: A Study of Privacy Preserving Data Publishing Techniques
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Editorial [State of the Transactions]
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Privacy-protected statistics publication over social media user trajectory streams
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A real-time aggregate data publishing scheme with adaptive ω-event differential privacy
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Research works printed but not linked: 4
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Cited by
Sorted by citations
Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey
Husnoo, M. A., Anwar, A., Chakrabortty, R. K., Doss, R., & Ryan, M. J. (2021) · IEEE Access · doi:10.1109/access.2021.3124309 · Cited by 74
Yao, A., Li, G., Li, X., Jiang, F., Jia, X., & Liu, X. (2023) · Array · doi:10.1016/j.array.2023.100293 · Cited by 58
Self-citationSung, G., & Park, E. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106068 · Cited by 12
Private Metering in EV Charging Infrastructure: An OCPP Extension
Kamal, N. F., Sharida, A., Bayhan, S., Alnuweiri, H., & Abu‐Rub, H. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3403455 · Cited by 7
Islam, N., & Zulkernine, M. (2025) · arXiv · doi:10.48550/arxiv.2503.01089 · Cited by 9
“The literature is categorized into the three key IoV domains: (1) intelligent transportation and traffic management, (2) autonomous driving and safety-critical applications, and (3) communication infrastructure and smart services.”
Metadata
- Authors
- Qiu, R., Liu, X., Huang, R., Zheng, F., Liang, L., & Li, Y.
- Affiliations
- State Grid Corporation of China (China) (CN)
- North China Electric Power University (CN)
- Corresponding author
- Li, Yuancheng
- Venue
- PeerJ Computer Science
- Publisher
- PeerJ
- Published
- 2021-04-22
- Volume
- 7
- Pages
- e481
- ISSN
- 2376-5992 (ISSN-L)
- PMC
- PMC8080421
- OpenAlex
- W3162032561
- Cited by
- 7
- References
- 21
- Citations by year
- 2026: 3 · 2024: 2 · 2023: 1 · 2021: 1
- FWCI
- 0.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PeerJ Computer Science (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- State Grid Jiangxi Information & Telecommunication Company Project “Research on Key Technology of Privacy-preserving for the Edge of Ubiqui-tous Electric Internet of Things” (521835200034)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Keywords
- differential privacy, privacy preservation, privacy budget allocation, data utility, data release, privacy-preserving data sharing
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