Privacy preservation in the internet of vehicles using local differential privacy and IOTA ledger
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Study [52] integrated privacy guarantees of LDP and distributed ledger technology of IOTA to achieve scalability, immutability, and quantum resistance in large-scale vehicular networks.
“Another study [52] integrated privacy guarantees of LDP and distributed ledger technology of IOTA to achieve scalability, immutability, and quantum resistance in large-scale vehicular networks.”
From Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction (2025) · cites this paper as [52]
Cites
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Erlingsson, Ú., Pihur, V., & Korolova, A. (2014) · Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/2660267.2660348 · Cited by 1,838 · see citing works
Zhang, S., Li, X., Tan, Z., Peng, T., & Wang, G. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.10.053 · Cited by 163
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Islam, N., & Zulkernine, M. (2025) · arXiv · doi:10.48550/arxiv.2503.01089 · Cited by 1 · see citing works
“…datasets 𝑑 and 𝑑′ and for any possible output subset 𝑆 , the probability 𝑃𝑟 , that the 𝑀 produces an output in 𝑆 is nearly the same for both datasets: Here, 𝜖 is a non-negative parameter that quantifies the privacy loss – smaller values of 𝜀 indicate stronger privacy guarantees.”
- Authors
- Iftikhar, Z., Anjum, A., Khan, A., Shah, M. A., & Jeon, G.
- Affiliations
- COMSATS University Islamabad (PK)
- Quaid-i-Azam University (PK)
- University of Derby (GB)
- Incheon National University (KR)
- Corresponding author
- Jeon, Gwanggil
- Venue
- Cluster Computing
- Published
- 2023-05-08
- Volume
- 26
- Issue
- 6
- Pages
- 3361-3377
- ISSN
- 1386-7857 (ISSN-L)
- 1573-7543
- OpenAlex
- W4375859381
- Cited by
- 13
- References
- 2
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 2 · 2023: 1
- FWCI
- 1.15
- Type
- journal article
- Language
- en
- Update notices
- correction (2023-05-29)
- Open access
- closed
- Licence
- Locations
- Cluster Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- privacy preservation, vehicular ad hoc networks, local differential privacy, roadside units, untrusted third party, data immutability, quantum security
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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