Privacy and Trust in the Internet of Vehicles
Privacy and Trust in the Internet of Vehicles
The Internet of Vehicles aims to fundamentally improve transportation by connecting vehicles, drivers, passengers, and service providers together. Several new services such as parking space identification, platooning and intersection control—to name just a few—are expected to improve traffic congestion, reduce pollution, and improve the efficiency, safety and logistics of transportation. Proposed end-user services, however, make extensive use of private information with little consideration for the impact on users and third parties (those individuals whose information is indirectly involved). This article provides the first comprehensive overview of privacy and trust issues in the Internet of Vehicles at the service level. Various concerns over privacy are formalised into four basic categories: privacy of personal information, trust, consent to provide information, and multi-party privacy. To help analyse services and to facilitate future research, the main relevant end-user services are taxonomised according to voluntary and involuntary information they require and produce. Finally, this work identifies several open research problems and highlights general approaches to address them. These especially relate to measuring the trade-off between privacy and service functionality, automated consent negotiation, trust towards the IoV and its individual services, and identifying and resolving multi-party privacy conflicts.
Data privacy, Internet of Things, Internet of Vehicles, IoT, IoV, Peer-to-peer computing, Privacy, Safety, Security, Vehicular ad hoc networks, connected vehicles., trust
10126-10141
Zavvos, Efstathios
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Gerding, Enrico
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Yazdanpanah, Vahid
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Maple, Carsten
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Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
schraefel, m.c.
ac304659-1692-47f6-b892-15113b8c929f
Zavvos, Efstathios
6d8f7292-47db-464b-8787-7ee854e66682
Gerding, Enrico
d9e92ee5-1a8c-4467-a689-8363e7743362
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Maple, Carsten
99f12daa-5ff8-4057-892e-647d96d4329e
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
schraefel, m.c.
ac304659-1692-47f6-b892-15113b8c929f
Zavvos, Efstathios, Gerding, Enrico, Yazdanpanah, Vahid, Maple, Carsten, Stein, Sebastian and schraefel, m.c.
(2021)
Privacy and Trust in the Internet of Vehicles.
IEEE Transactions on Intelligent Transportation Systems, 23 (8), .
(doi:10.1109/TITS.2021.3121125).
Abstract
The Internet of Vehicles aims to fundamentally improve transportation by connecting vehicles, drivers, passengers, and service providers together. Several new services such as parking space identification, platooning and intersection control—to name just a few—are expected to improve traffic congestion, reduce pollution, and improve the efficiency, safety and logistics of transportation. Proposed end-user services, however, make extensive use of private information with little consideration for the impact on users and third parties (those individuals whose information is indirectly involved). This article provides the first comprehensive overview of privacy and trust issues in the Internet of Vehicles at the service level. Various concerns over privacy are formalised into four basic categories: privacy of personal information, trust, consent to provide information, and multi-party privacy. To help analyse services and to facilitate future research, the main relevant end-user services are taxonomised according to voluntary and involuntary information they require and produce. Finally, this work identifies several open research problems and highlights general approaches to address them. These especially relate to measuring the trade-off between privacy and service functionality, automated consent negotiation, trust towards the IoV and its individual services, and identifying and resolving multi-party privacy conflicts.
Text
Privacy and Trust in the Internet of Vehicles
- Accepted Manuscript
More information
Accepted/In Press date: 7 October 2021
e-pub ahead of print date: 26 October 2021
Additional Information:
Publisher Copyright:
IEEE
Keywords:
Data privacy, Internet of Things, Internet of Vehicles, IoT, IoV, Peer-to-peer computing, Privacy, Safety, Security, Vehicular ad hoc networks, connected vehicles., trust
Identifiers
Local EPrints ID: 451816
URI: http://eprints.soton.ac.uk/id/eprint/451816
ISSN: 1524-9050
PURE UUID: 75735afc-d423-43e0-ad9e-ff3b7602bfe6
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Date deposited: 28 Oct 2021 16:34
Last modified: 17 Mar 2024 04:02
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