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Towards Privacy Protection Composition Framework on Internet of Vehicles

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Towards Privacy Protection Composition Framework on Internet of Vehicles. / Wu, Xiaotong; Xu, Xiaolong; Bilal, Muhammad.
In: IEEE Consumer Electronics Magazine, Vol. 11, No. 6, 01.11.2022, p. 32-38.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Wu, X, Xu, X & Bilal, M 2022, 'Towards Privacy Protection Composition Framework on Internet of Vehicles', IEEE Consumer Electronics Magazine, vol. 11, no. 6, pp. 32-38. https://doi.org/10.1109/MCE.2021.3092303

APA

Vancouver

Wu X, Xu X, Bilal M. Towards Privacy Protection Composition Framework on Internet of Vehicles. IEEE Consumer Electronics Magazine. 2022 Nov 1;11(6):32-38. Epub 2021 Jun 28. doi: 10.1109/MCE.2021.3092303

Author

Wu, Xiaotong ; Xu, Xiaolong ; Bilal, Muhammad. / Towards Privacy Protection Composition Framework on Internet of Vehicles. In: IEEE Consumer Electronics Magazine. 2022 ; Vol. 11, No. 6. pp. 32-38.

Bibtex

@article{d99e5fe80fe24401bc5888a85394d539,
title = "Towards Privacy Protection Composition Framework on Internet of Vehicles",
abstract = "As an emerging computing paradigm, the Internet of Vehicles (IoV) brings a lot of benefits for drivers and consumers, such as route recommendation, reducing traffic congestion, and parking difficulty. However, participants in IoV are inevitably exposed to privacy threats because their data are outsourced to a third party. This article presents a comprehensive analysis of the root causes of privacy risks in IoV and the potential solutions. We begin by introducing the concrete privacy challenges, which are tied to the structural properties of IoV. Then, we present a unified framework of data privacy preservation in IoV, which integrates multiple privacy techniques, including encryption, anonymity, and perturbation. Next, we investigate the possible research directions for route recommendation, charging deployment, traffic prediction under different privacy requirements in detail. Finally, we discuss emerging techniques and environments (e.g., blockchain, smart grid, and 5G communication) to strengthen the ability and application of IoV under strong protection.",
author = "Xiaotong Wu and Xiaolong Xu and Muhammad Bilal",
year = "2022",
month = nov,
day = "1",
doi = "10.1109/MCE.2021.3092303",
language = "English",
volume = "11",
pages = "32--38",
journal = "IEEE Consumer Electronics Magazine",
issn = "2162-2248",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "6",

}

RIS

TY - JOUR

T1 - Towards Privacy Protection Composition Framework on Internet of Vehicles

AU - Wu, Xiaotong

AU - Xu, Xiaolong

AU - Bilal, Muhammad

PY - 2022/11/1

Y1 - 2022/11/1

N2 - As an emerging computing paradigm, the Internet of Vehicles (IoV) brings a lot of benefits for drivers and consumers, such as route recommendation, reducing traffic congestion, and parking difficulty. However, participants in IoV are inevitably exposed to privacy threats because their data are outsourced to a third party. This article presents a comprehensive analysis of the root causes of privacy risks in IoV and the potential solutions. We begin by introducing the concrete privacy challenges, which are tied to the structural properties of IoV. Then, we present a unified framework of data privacy preservation in IoV, which integrates multiple privacy techniques, including encryption, anonymity, and perturbation. Next, we investigate the possible research directions for route recommendation, charging deployment, traffic prediction under different privacy requirements in detail. Finally, we discuss emerging techniques and environments (e.g., blockchain, smart grid, and 5G communication) to strengthen the ability and application of IoV under strong protection.

AB - As an emerging computing paradigm, the Internet of Vehicles (IoV) brings a lot of benefits for drivers and consumers, such as route recommendation, reducing traffic congestion, and parking difficulty. However, participants in IoV are inevitably exposed to privacy threats because their data are outsourced to a third party. This article presents a comprehensive analysis of the root causes of privacy risks in IoV and the potential solutions. We begin by introducing the concrete privacy challenges, which are tied to the structural properties of IoV. Then, we present a unified framework of data privacy preservation in IoV, which integrates multiple privacy techniques, including encryption, anonymity, and perturbation. Next, we investigate the possible research directions for route recommendation, charging deployment, traffic prediction under different privacy requirements in detail. Finally, we discuss emerging techniques and environments (e.g., blockchain, smart grid, and 5G communication) to strengthen the ability and application of IoV under strong protection.

U2 - 10.1109/MCE.2021.3092303

DO - 10.1109/MCE.2021.3092303

M3 - Journal article

VL - 11

SP - 32

EP - 38

JO - IEEE Consumer Electronics Magazine

JF - IEEE Consumer Electronics Magazine

SN - 2162-2248

IS - 6

ER -