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Robust fingerprinting of genomic databases.

Tianxi Ji1, Erman Ayday2, Emre Yilmaz3

  • 1Department of Electrical, Computer, and System Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.

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Summary

This study introduces a novel fingerprinting scheme for genomic databases, enhancing security against data leakage. Mitigation techniques effectively defend against correlation attacks, ensuring data integrity and liability.

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Area of Science:

  • Bioinformatics
  • Data Security
  • Genomic Databases

Background:

  • Database fingerprinting is crucial for deterring unauthorized data redistribution by identifying leakage sources.
  • Existing fingerprinting schemes lack liability guarantees for genomic databases.
  • Genomic data's intrinsic correlations enable powerful correlation attacks against embedded fingerprints.

Purpose of the Study:

  • To develop a novel fingerprinting scheme specifically for genomic databases.
  • To address the vulnerability of genomic database fingerprinting to correlation attacks.
  • To propose mitigation techniques for robust genomic database fingerprinting against such attacks.

Main Methods:

  • Devised a vanilla fingerprinting scheme tailored for genomic databases.
  • Developed mitigation techniques to counteract correlation attacks.
  • Evaluated scheme robustness and utility preservation using a real-world genomic database.

Main Results:

  • Correlation attacks are powerful, capable of distorting over 50% of fingerprint bits with minimal utility loss.
  • Proposed mitigation techniques effectively reduce the impact of correlation attacks.
  • Even with significant utility degradation (e.g., 24% accuracy loss), attackers could only distort ~30% of fingerprint bits, insufficient for evasion.
  • Mitigation techniques minimally impact database utility, causing only ~3% accuracy loss.

Conclusions:

  • The developed fingerprinting scheme provides liability guarantees for genomic databases.
  • Mitigation techniques ensure robust fingerprinting against sophisticated correlation attacks.
  • The approach balances security with the preservation of genomic database utility.