Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/95741
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | en_US |
dc.creator | Wu, H | en_US |
dc.creator | Peng, Z | en_US |
dc.creator | Guo, S | en_US |
dc.creator | Yang, Y | en_US |
dc.creator | Xiao, B | en_US |
dc.date.accessioned | 2022-10-05T03:56:44Z | - |
dc.date.available | 2022-10-05T03:56:44Z | - |
dc.identifier.issn | 1045-9219 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/95741 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication H. Wu, Z. Peng, S. Guo, Y. Yang and B. Xiao, "VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems," in IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 6, pp. 1393-1406, 1 June 2022 is available at https://dx.doi.org/10.1109/TPDS.2021.3113873. | en_US |
dc.subject | Blockchain systems | en_US |
dc.subject | Cloud query service | en_US |
dc.subject | Data authenticity | en_US |
dc.subject | Verifiable query | en_US |
dc.title | VQL : efficient and verifiable cloud query services for blockchain systems | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1393 | en_US |
dc.identifier.epage | 1406 | en_US |
dc.identifier.volume | 33 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.doi | 10.1109/TPDS.2021.3113873 | en_US |
dcterms.abstract | Despite increasingly emerging applications, a primary concern for blockchain to be fully practical is the inefficiency of data query. Direct queries on the blockchain take much time by searching every block, while indirect queries on a blockchain database greatly degrade the authenticity of query results. To conquer the authenticity problem, we propose a Verifiable Query Layer (VQL) that can be deployed in the cloud to provide both efficient and verifiable data query services for blockchain systems. The middleware layer extracts data from the underlying blockchain system and efficiently reorganizes them in databases. To prevent falsified data from being stored in the middleware, a cryptographic fingerprint is calculated based on each constructed database. The database fingerprint will be first verified by miners and then written into the blockchain. Moreover, public users can verify the entire databases or several databases that interest them in the middleware layer. We implement VQL together with the verification schemes and conduct extensive experiments based on a practical blockchain system. The evaluation results demonstrate that VQL can efficiently support various data query services and guarantee the authenticity of query results for blockchain systems. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on parallel and distributed systems, June 2022, v. 33, no. 6, p. 1393-1406 | en_US |
dcterms.isPartOf | IEEE transactions on parallel and distributed systems | en_US |
dcterms.issued | 2022-06 | - |
dc.identifier.scopus | 2-s2.0-85115713757 | - |
dc.identifier.eissn | 1558-2183 | en_US |
dc.description.validate | 202210 bckw | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1722 | - |
dc.identifier.SubFormID | 45838 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wu_Cloud_Query_Blockchain.pdf | Pre-Published version | 4.02 MB | Adobe PDF | View/Open |
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