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Efficient logging and querying for blockchain-based cross-site genomic dataset access audit.

Shuaicheng Ma1, Yang Cao2, Li Xiong3

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This study presents an efficient blockchain-based system for auditing genomic data access across multiple sites. The system enhances security and transparency while improving query speed and reducing storage needs.

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Area of Science:

  • Genomics
  • Computer Science
  • Data Security

Background:

  • Genomic data sharing across institutions requires secure and transparent access control for accountability.
  • Centralized audit systems are vulnerable to single points of attack and lack transparency.
  • Existing blockchain solutions for genomic data access audit lack query efficiency.

Purpose of the Study:

  • To design an efficient logging and querying system for cross-site genomic dataset access audit.
  • To develop a light-weight and widely compatible blockchain-based log system.
  • To address the efficiency of audit queries in blockchain-based access control.

Main Methods:

  • Developed a blockchain-based log system with a hierarchical timestamp structure.
  • Implemented baseline and enhanced methods, optimizing for competition criteria.
  • Focused on overcoming indexing challenges in immutable blockchain systems for efficient range queries.

Main Results:

  • Achieved significant speed boosts for complex AND queries and range queries (at least one order of magnitude).
  • Reduced storage usage by 25%.
  • Demonstrated scalability and performance improvements using competition test data.

Conclusions:

  • Blockchain technology can create time and space-efficient audit trails for genomic dataset access.
  • The developed system offers a promising solution for secure genomic data sharing with accountability.
  • The system provides a light-weight and compatible module for existing blockchain platforms.