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| Title | Employing Blockchain Technology For Decentralized Crowdsourced Data Access And Management |
|---|---|
| ID_Doc | 22884 |
| Authors | Sukhija N.; Bautista E.; Moore M.; Sample J.-G. |
| Year | 2019 |
| Published | Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 |
| DOI | http://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00089 |
| Abstract | In recent years, the crowdsourced data analytics have gained an unprecedented interest and adoption from the research communities. In data crowdsourcing, large scientific problems can be solved by utilizing collective human intelligence, where various researchers or groups work on solving various sub-problems. However, the main challenges that encompasses a crowdsourcing system are data access, management, and analysis along with user privacy and trust preservation. In this paper, we present a decentralized data access and control framework to handle data crowdsourcing using blockchain technology. Leveraging on blockchain, our permissioned system enables confidentiality, accountability and traceability of the Crowdsourced data while maintaining control of it via Proof of Stake consensus algorithm. The proposed framework will be employed to crowdsource operational data to the National Energy Research Scientific Computing Center (NERSC) users at Lawrence Berkeley National Laboratory. © 2019 IEEE. |
| Author Keywords | Access control; Blockchain; Confidentiality; Crowdsourcing; Data anlaytics; Management; Privacy; Traceability |
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