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Leveraging blockchain for immutable logging and querying across multiple sites.

Mustafa Safa Ozdayi1, Murat Kantarcioglu2, Bradley Malin3

  • 1Department of Computer Science, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, 800 W. Campbell Road, Richardson, 75080, TX, USA. mustafa.ozdayi@utdallas.edu.

BMC Medical Genomics
|July 23, 2020
PubMed
Summary
This summary is machine-generated.

Blockchain systems can efficiently query sensitive data using key-value stores, offering practical immutability for audit trails. This approach demonstrates reasonable response times for complex queries, making blockchains suitable for multi-site data management.

Keywords:
BlockchainCross-site data sharingMultichainQuery-response

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Area of Science:

  • Computer Science
  • Biomedical Informatics
  • Cybersecurity

Background:

  • Blockchain offers tamper-resilience and immutability, crucial for sensitive data auditability in healthcare and biomedical fields.
  • Standard blockchain structures lack efficient data querying capabilities.
  • This study addresses the challenge of querying data stored on blockchains.

Purpose of the Study:

  • To develop an efficient method for running complex audit queries on blockchain-stored data.
  • To investigate the feasibility of using key-value stores for enhancing blockchain query performance.
  • To adapt blockchain technology for secure genomic dataset access log management.

Main Methods:

  • Implemented a solution using Multichain platform with 4 nodes for a permissioned blockchain network.
  • Utilized key-value stores with optimizations like bucketization and batch loading.
  • Compared the performance of the blockchain solution against SQLite for loading and query response times.

Main Results:

  • Blockchain-based query response times varied from 0.2 to 6 seconds compared to SQLite, depending on query type and data size.
  • Range queries were identified as a performance bottleneck but scaled linearly.
  • The implemented solution demonstrated efficient data retrieval from the blockchain.

Conclusions:

  • Blockchain systems, augmented with key-value stores, can achieve reasonable query-response times for complex data audits.
  • This approach validates the utility of blockchains for maintaining auditable and immutable data across multiple sites.
  • The findings support the integration of blockchain technology in secure data management frameworks.