Pub-SubMCS: A privacy-preserving publish-subscribe and blockchain-based mobile crowdsensing framework

【Author】 Agrawal, Ankit; Choudhary, Sarthak; Bhatia, Ashutosh; Tiwari, Kamlesh

【Source】FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

【影响因子】7.307

【Abstract】This paper proposes a privacy-preserving publish-subscribe-based decentralized framework for MCS systems named "Pub-SubMCS". The framework allows data sharing, where requesters can subscribe to an existing data request (task) if their requirements match. Otherwise, they can create a new task with specific requirements on considered parameters. Incorporating the publish-subscribe (pub-sub) service model in a decentralized MCS system saves system entities' sensing and computing resources and the cost of acquiring the data by the requesters. However, the pub-sub service model makes the curse of sensing issues more severe. Pub-SubMCS handles the curse of sensing issues by performing access control using smart contracts, which impose restrictions on data collectors (workers) to publish the data and identify and penalize the malicious workers early. To ensure data privacy and validation simultaneously over blockchain, we perform data transformation enabling the validation algorithm to run over transformed data and thus enhancing trust among the system entities. In particular, we use the normalization technique to transform data and the Pearson correlation coefficient measure to compare the similarity in the collected sensor data. Pub-SubMCS is implemented on the Ethereum blockchain, and solidity programming language is used to create smart contracts. The security analysis and experiment results show the proposed system's scalability, usability, and feasibility. We also demonstrate the effectiveness of the publish-subscribe model against the requester-worker model.(c) 2023 Elsevier B.V. All rights reserved. [Agrawal, Ankit; Choudhary, Sarthak; Bhatia, Ashutosh; Tiwari, Kamlesh] Birla Inst Sci & Technol, Dept CSIS, Jhunjhunu 333031, Rajasthan, India Agrawal, A (通讯作者)，Birla Inst Sci & Technol, Dept CSIS, Jhunjhunu 333031, Rajasthan, India. p20190021@pilani.bits-pilani.ac.in; f20190112@pilani.bits-pilani.ac.in; ashutosh.bhatia@pilani.bits-pilani.ac.in; kamlesh.tiwari@pilani.bits-pilani.ac.in 50 0 0 0 0 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 0167-739X 1872-7115 FUTURE GENER COMP SY Futur. Gener. Comp. Syst. SEP 2023 146 234 249 10.1016/j.future.2023.04.018 http://dx.doi.org/10.1016/j.future.2023.04.018 MAY 2023 16 Computer Science, Theory & Methods Science Citation Index Expanded (SCI-EXPANDED) Computer Science I1SA6 2023-06-24 WOS:001000639600001

【Keywords】Mobile crowdsensing; Blockchain; Publish-subscribe model; Security; Trust; Privacy

【发表时间】2023 SEP

【收录时间】2023-06-28

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