- Xuhan Zuo ORCID:orcid.org/0009-0008-8948-834310,
- Minghao Wang ORCID:orcid.org/0000-0001-8437-382111,
- Dayong Ye ORCID:orcid.org/0000-0002-7561-099210 &
- …
- Shui Yu ORCID:orcid.org/0000-0003-4485-674310
Part of the book series:Lecture Notes in Computer Science ((LNCS,volume 15251))
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Abstract
In the promotion process of the Internet of Vehicles (IoV), location privacy issues arise when large-scale transmissions are applied. The current solutions for addressing location privacy issues in IoV are hindered by several pain points, including limited effectiveness, scalability challenges, and reliance on a single privacy mechanism. While a blockchain-based method for preserving location privacy has been proposed, there remains an academic concern regarding the suitability of such a scheme. In this paper, we propose a Dirichlet-based location privacy-preserving scheme for IoV, oriented towards vehicle density awareness and adjustable sensitivity by a certified organization. This scheme is applicable to intelligent transportation systems and addresses the limitations of current blockchain-based methods for preserving location privacy. Finally, we implement the proposed scheme in an industrial blockchain, evaluating its performance and conducting a theoretical analysis from security and privacy perspectives.
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Authors and Affiliations
University of Technology Sydney, Ultimo, 2007, Australia
Xuhan Zuo, Dayong Ye & Shui Yu
City University of Macau, Macao, Macao, Special Administrative Region of China
Minghao Wang
- Xuhan Zuo
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- Dayong Ye
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- Shui Yu
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Correspondence toShui Yu.
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Editors and Affiliations
City University of Macau, Macau, China
Tianqing Zhu
Guangzhou University, Guangzhou, China
Jin Li
University of Salerno, Fisciano, Italy
Aniello Castiglione
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Zuo, X., Wang, M., Ye, D., Yu, S. (2025). A Scheme of Dynamic Location Privacy-Preserving with Blockchain in Intelligent Transportation System. In: Zhu, T., Li, J., Castiglione, A. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2024. Lecture Notes in Computer Science, vol 15251. Springer, Singapore. https://doi.org/10.1007/978-981-96-1525-4_2
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