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TrustVote : privacy-preserving node ranking in vehicular networks
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Azad, Muhammad Ajmal, Bag, Samiran, Parkinson, Simon and Hao, Feng (2019) TrustVote : privacy-preserving node ranking in vehicular networks. IEEE Internet of Things Journal, 6 (4). pp. 5878-5891. doi:10.1109/JIOT.2018.2880839
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Official URL: https://doi.org/10.1109/JIOT.2018.2880839
Abstract
The Internet of Vehicles (IoV) is the network of connected vehicles and transport infrastructure units (Roadside Units (RSU)), which utilizes emerging wireless systems (4G, 5G, LTE) for the communication and sharing of information. The network of connected vehicles enables users to disseminate critical information about events happening on the road (for example accidents, traffic congestions, and hazards). The exchange of information between vehicles and roadside units could improve the driving experience and road safety, as well as help drivers to identify the hazardous and safe routes in a timely manner. The sharing of critical information between vehicles is advantageous to the driver; however, at the same time, malicious actors could mislead drivers by spreading fraudulent and fake messages.
Fraudulent messages can have a negative impact on the infrastructure, and more significantly, have potential to cause threats to the life. It is therefore essential that vehicles can evaluate the credibility of those who send messages (vehicles or roadside units) before taking any action. In this paper, we present TrustVote, a collaborative crowdsourcing-based vehicle reputation system that enables vehicles to evaluate the credibility of other vehicles in a connected vehicular network. The TrustVote system allows participating vehicles to hide their rating/feedback scores and the list of interacted vehicles under a homomorphic cryptographic layer, which can only be unfolded as an aggregate. The proposed approach also considers the trust weight of a vehicle providing the rating scores while computing the aggregate reputation of the vehicles. A prototype of TrustVote is developed and its performance is evaluated in terms of the computational and communication overheads.
| Item Type: | Journal Article | ||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||||
| Divisions: | Faculty of Science > Computer Science | ||||||||
| Library of Congress Subject Headings (LCSH): | Vehicular ad hoc networks (Computer networks) -- Security measures, Vehicle-infrastructure integration, Crowdsourcing, Human computation | ||||||||
| Journal or Publication Title: | IEEE Internet of Things Journal | ||||||||
| Publisher: | IEEE | ||||||||
| ISSN: | 2327-4662 | ||||||||
| Official Date: | August 2019 | ||||||||
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| Volume: | 6 | ||||||||
| Number: | 4 | ||||||||
| Page Range: | pp. 5878-5891 | ||||||||
| DOI: | 10.1109/JIOT.2018.2880839 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Publisher Statement: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
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