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dc.contributor.authorMuhammad AJmal, Azad
dc.contributor.authorSamiran, Bag
dc.contributor.authorSimon, Parkinson
dc.contributor.authorFeng, Hao
dc.date.accessioned2019-05-24T15:26:24Z
dc.date.available2019-05-24T15:26:24Z
dc.date.issued2018-11-12
dc.identifier.citationAzad, M.A., Bag, S., Parkinson, S. and Hao, F., (2018). 'TrustVote: Privacy-Preserving Node Ranking in Vehicular Networks'. IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2018.2880839en_US
dc.identifier.doi10.1109/JIOT.2018.2880839
dc.identifier.urihttp://hdl.handle.net/10545/623784
dc.description.abstractThe 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 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.en_US
dc.description.sponsorshipNAen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.urlhttps://ieeexplore.ieee.org/abstract/document/8531766en_US
dc.subjectPrivacy-preservationen_US
dc.subjectVehicular networksen_US
dc.subjectPrivate Crowdsourcing.en_US
dc.subjectSecure Multi-party Computationen_US
dc.subjectReputation systemen_US
dc.titleTrustVote: Privacy-preserving node ranking in vehicular networksen_US
dc.typeArticleen_US
dc.identifier.eissn23274662
dc.contributor.departmentDerby Universityen_US
dc.contributor.departmentWarwick Universityen_US
dc.contributor.departmentHuddersfield Universityen_US
dc.contributor.departmentWarwick Universityen_US
dc.identifier.journalIEEE Internet of Things Journalen_US
dcterms.dateAccepted2018-10-31
dc.author.detail786678en_US


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