VQL: Providing query efficiency and data authenticity in blockchain systems

Zhe Peng, Haotian Wu, Bin Xiao, Songtao Guo

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Blockchain, as the underlying technique of cryptocurrency, has triggered a wave of innovation in decentralized computing. Despite some research on blockchain data query, a primary concern for blockchain to be fully practical is to combat the data query inefficiency and query result authenticity. To provide both efficient and verifiable data query services for blockchain-based systems, we propose a Verifiable Query Layer (VQL). The middleware layer extracts transactions stored in the underlying blockchain system and efficiently reorganizes them in databases to provide various query services for public users. To prevent falsified data being stored in the middleware, a cryptographic hash value is calculated for each constructed database. The database fingerprint including the hash value and some database properties will be first verified by miners and then stored in the blockchain. We implement VQL and conduct extensive experiments based on a practical blockchain system Ethereum. The evaluation results demonstrate that VQL can effectively support various data query services and guarantee the authenticity of query results for the blockchain system.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 35th International Conference on Data Engineering Workshops, ICDEW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781728108902
DOIs
Publication statusPublished - 1 Apr 2019
Event35th IEEE International Conference on Data Engineering Workshops, ICDEW 2019 - Macau, China
Duration: 8 Apr 201912 Apr 2019

Publication series

NameProceedings - 2019 IEEE 35th International Conference on Data Engineering Workshops, ICDEW 2019

Conference

Conference35th IEEE International Conference on Data Engineering Workshops, ICDEW 2019
CountryChina
CityMacau
Period8/04/1912/04/19

Keywords

  • Blockchain systems
  • Data authenticity
  • Query efficiency

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Information Systems and Management

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