Achieving Secure and Privacy-Preserving Incentive in Vehicular Cloud Advertisement Dissemination

The recent research trend of extending cloud computing to vehicles by leveraging under-utilized on-board capabilities [also known as vehicular cloud (VC)] is unsurprising, partly due to the increasing popularity of intelligent vehicles (with on-board computing equipment) and cloud computing. However...

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Main Authors: Qinglei Kong, Rongxing Lu, Hui Zhu, Maode Ma
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8340152/
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author Qinglei Kong
Rongxing Lu
Hui Zhu
Maode Ma
author_facet Qinglei Kong
Rongxing Lu
Hui Zhu
Maode Ma
author_sort Qinglei Kong
collection DOAJ
description The recent research trend of extending cloud computing to vehicles by leveraging under-utilized on-board capabilities [also known as vehicular cloud (VC)] is unsurprising, partly due to the increasing popularity of intelligent vehicles (with on-board computing equipment) and cloud computing. However, VC deployment is still challenging: how to securely verify responding vehicles, how to recruit competent vehicles, and how to achieve privacy preservation, are among the remaining research challenges. In this paper, we propose a secure and privacy-preserving incentive mechanism under the vehicular advertisement dissemination setting, which enables vehicles to opportunistically perform on-demand advertisement dissemination tasks and (financially) benefit from the completed task. Specifically, the road side unit (RSU) representing the advertisement dissemination server first announces a dissemination task, and performs the privacy-preserving access control of the responding vehicles. Then the RSU selects the participating vehicles among a pool of verified competent vehicles, and acknowledges the participation of selected vehicles with a secure secret sharing scheme; meanwhile, the selected vehicles performs the dissemination task with incentives. Finally, we prove the security of the proposed scheme in terms of secure access control and privacy preservation, and demonstrate its efficiency via simulation results (i.e., improves the amount of advertisement dissemination and brings incentives to participating vehicles).
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spelling doaj.art-c8ee31b8cc434fda87003535c6fdead22022-12-21T18:15:52ZengIEEEIEEE Access2169-35362018-01-016250402505010.1109/ACCESS.2018.28273658340152Achieving Secure and Privacy-Preserving Incentive in Vehicular Cloud Advertisement DisseminationQinglei Kong0https://orcid.org/0000-0002-9740-0240Rongxing Lu1https://orcid.org/0000-0001-5720-0941Hui Zhu2Maode Ma3School of Electrical and Electronic Engineering, Nanyang Technological University, SingaporeFaculty of Computer Science, University of New Brunswick, Fredericton, NB, CanadaSchool of Cyber Engineering, Xidian University, Xi’an, ChinaSchool of Electrical and Electronic Engineering, Nanyang Technological University, SingaporeThe recent research trend of extending cloud computing to vehicles by leveraging under-utilized on-board capabilities [also known as vehicular cloud (VC)] is unsurprising, partly due to the increasing popularity of intelligent vehicles (with on-board computing equipment) and cloud computing. However, VC deployment is still challenging: how to securely verify responding vehicles, how to recruit competent vehicles, and how to achieve privacy preservation, are among the remaining research challenges. In this paper, we propose a secure and privacy-preserving incentive mechanism under the vehicular advertisement dissemination setting, which enables vehicles to opportunistically perform on-demand advertisement dissemination tasks and (financially) benefit from the completed task. Specifically, the road side unit (RSU) representing the advertisement dissemination server first announces a dissemination task, and performs the privacy-preserving access control of the responding vehicles. Then the RSU selects the participating vehicles among a pool of verified competent vehicles, and acknowledges the participation of selected vehicles with a secure secret sharing scheme; meanwhile, the selected vehicles performs the dissemination task with incentives. Finally, we prove the security of the proposed scheme in terms of secure access control and privacy preservation, and demonstrate its efficiency via simulation results (i.e., improves the amount of advertisement dissemination and brings incentives to participating vehicles).https://ieeexplore.ieee.org/document/8340152/Advertisement disseminationincentive mechanismprivacy preservationvehicular cloud
spellingShingle Qinglei Kong
Rongxing Lu
Hui Zhu
Maode Ma
Achieving Secure and Privacy-Preserving Incentive in Vehicular Cloud Advertisement Dissemination
IEEE Access
Advertisement dissemination
incentive mechanism
privacy preservation
vehicular cloud
title Achieving Secure and Privacy-Preserving Incentive in Vehicular Cloud Advertisement Dissemination
title_full Achieving Secure and Privacy-Preserving Incentive in Vehicular Cloud Advertisement Dissemination
title_fullStr Achieving Secure and Privacy-Preserving Incentive in Vehicular Cloud Advertisement Dissemination
title_full_unstemmed Achieving Secure and Privacy-Preserving Incentive in Vehicular Cloud Advertisement Dissemination
title_short Achieving Secure and Privacy-Preserving Incentive in Vehicular Cloud Advertisement Dissemination
title_sort achieving secure and privacy preserving incentive in vehicular cloud advertisement dissemination
topic Advertisement dissemination
incentive mechanism
privacy preservation
vehicular cloud
url https://ieeexplore.ieee.org/document/8340152/
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