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Wang Shenling
Beijing Normal University
Corresponding Author
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With the increasing utilization of space related data, the demand for spatial big data sharing and trading is growing rapidly, which promotes the emergence of spatial data market. However, in conventional data markets, both data buyers and data sellers have to use a centralized trading platform which might be dishonest. Blockchain is a decentralized distributed data storage technology, which uses the traceability and unforgeability to confirm and record each transaction, can solve the disadvantages of the centralized data market, however, it also introduces the problems of security and privacy. To address this issue, we propose a blockchain-based spatial data trading framework with Trusted Execution Environment to provide a trusted decentralized platform, including data storage, data query, data pricing and security computing. Based on this framework, a spatial data trading demonstration system was implemented and its feasibility and security were verified.
Keywords
spatial data, data trading, data pricing, Blockchain
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CURRENT STATUS: Under Review
Version 1
Posted 22 Jan, 2021
No community comments so far
Review #2 received
Received 15 Jun, 2021
Reviews received
Received 06 Jun, 2021
Reviewer #2 agreed
On 05 Jun, 2021
Review #1 received
Received 20 Mar, 2021
Reviewer #1 agreed
On 23 Feb, 2021
Reviewers invited
Invitations sent on 15 Feb, 2021
Editor assigned
On 14 Jan, 2021
Submission checks complete
On 14 Jan, 2021
Editor invited
On 14 Jan, 2021
First submitted
On 13 Jan, 2021
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A new preprint design is coming!
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This preprint is under consideration at EURASIP Journal on Wireless Communications and Networking. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Wang Shenling
Beijing Normal University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 22 Jan, 2021
No community comments so far
Review #2 received
Received 15 Jun, 2021
Reviews received
Received 06 Jun, 2021
Reviewer #2 agreed
On 05 Jun, 2021
Review #1 received
Received 20 Mar, 2021
Reviewer #1 agreed
On 23 Feb, 2021
Reviewers invited
Invitations sent on 15 Feb, 2021
Editor assigned
On 14 Jan, 2021
Submission checks complete
On 14 Jan, 2021
Editor invited
On 14 Jan, 2021
First submitted
On 13 Jan, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
With the increasing utilization of space related data, the demand for spatial big data sharing and trading is growing rapidly, which promotes the emergence of spatial data market. However, in conventional data markets, both data buyers and data sellers have to use a centralized trading platform which might be dishonest. Blockchain is a decentralized distributed data storage technology, which uses the traceability and unforgeability to confirm and record each transaction, can solve the disadvantages of the centralized data market, however, it also introduces the problems of security and privacy. To address this issue, we propose a blockchain-based spatial data trading framework with Trusted Execution Environment to provide a trusted decentralized platform, including data storage, data query, data pricing and security computing. Based on this framework, a spatial data trading demonstration system was implemented and its feasibility and security were verified.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
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