Privacy preserving and cost optimal mobile crowdsensing using smart contracts on blockchain

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dc.contributor.author Chatzopoulos, D.
dc.contributor.author Gujar, S.
dc.contributor.author Faltings, B.
dc.contributor.author Hui, P.
dc.date.accessioned 2019-11-22T08:42:01Z
dc.date.available 2019-11-22T08:42:01Z
dc.date.issued 2018
dc.identifier.citation Chatzopoulos , D , Gujar , S , Faltings , B & Hui , P 2018 , Privacy preserving and cost optimal mobile crowdsensing using smart contracts on blockchain . in 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) . IEEE International Conference on Mobile Ad-hoc and Sensor System , IEEE , pp. 442-450 , IEEE International Conference on Mobile Ad Hoc and Sensor Systems , Chengdu , China , 09/10/2018 . https://doi.org/10.1109/MASS.2018.00068
dc.identifier.citation conference
dc.identifier.other PURE: 122908141
dc.identifier.other PURE UUID: 9158afcd-7400-48ab-9b90-d58c60a5fca6
dc.identifier.other Bibtex: urn:bf8421945f03795539c4742dc0ae88a1
dc.identifier.other Scopus: 85056806019
dc.identifier.other WOS: 000457600600056
dc.identifier.uri http://hdl.handle.net/10138/307211
dc.description.abstract The popularity and applicability of mobile crowdsensing applications are continuously increasing due to the widespread of mobile devices and their sensing and processing capabilities. However, we need to offer appropriate incentives to the mobile users who contribute their resources and preserve their privacy. Blockchain technologies enable semi-anonymous multi-party interactions and can be utilized in crowdsensing applications to maintain the privacy of the mobile users while ensuring first-rate crowdsensed data. In this work, we propose to use blockchain technologies and smart contracts to orchestrate the interactions between mobile crowdsensing providers and mobile users for the case of spatial crowdsensing, where mobile users need to be at specific locations to perform the tasks. Smart contracts, by operating as processes that are executed on the blockchain, are used to preserve users’ privacy and make payments. Furthermore, for the assignment of the crowdsensing tasks to the mobile users, we design a truthful, cost-optimal auction that minimizes the payments from the crowdsensing providers to the mobile users. Extensive experimental results show that the proposed privacy preserving auction outperforms state-of-the-art proposals regarding cost by ten times for high numbers of mobile users and tasks. © 2018 IEEE. en
dc.format.extent 9
dc.language.iso eng
dc.publisher IEEE
dc.relation.ispartof 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)
dc.relation.ispartofseries IEEE International Conference on Mobile Ad-hoc and Sensor System
dc.relation.isversionof 978-1-5386-5581-8
dc.relation.isversionof 978-1-5386-5580-1
dc.rights other
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject Blockchain, Crowd sensing
dc.subject Multi-party interactions
dc.subject Optimal auction
dc.subject Privacy preserving
dc.subject Processing capability
dc.subject Smart contracts
dc.subject Specific location
dc.subject State of the art, Mobile telecommunication systems
dc.subject 113 Computer and information sciences
dc.title Privacy preserving and cost optimal mobile crowdsensing using smart contracts on blockchain en
dc.type Conference contribution
dc.contributor.organization Department of Computer Science
dc.contributor.organization Doctoral Programme in Computer Science
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1109/MASS.2018.00068
dc.relation.issn 2155-6806
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion
dc.identifier.url http://arxiv.org/abs/1808.04056

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