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In this paper, we propose a novel secure and privacy-preserving scheme for enhancing security in vehicular cloud based tasks announcement. The proposed scheme uses an efficient multiple receiver signcryption technique with proxy re-encryption in order to prevent the private information of the vehicles from being disclosed during task announcement. By integrating the proxy re-encryption algorithm with...
In this paper, we propose a novel secure and privacy-preserving incentive mechanism in vehicular cloud. The proposed incentive mechanism employs a tendering framework to model the interaction between vehicle cloud server and vehicles. With the proposed incentive mechanism, the cloud server can select participated vehicles to collaborate for its announced tasks, and the selected vehicles can earn payments...
In this paper, we present VLSP, a Vehicular Location based Service with Privacy grantees. In VLSP, we assume the service provider is untrusted and users do not have pre-established social relationships with each other, we use standard cryptographic primitives, Broadcast Encryption (BE) and Attribute-based Encryption (ABE) to provide privacy guarantees. By using VLSP, we are able to protect users'...
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