Zk-Gene: A Zero-Knowledge Proof Framework for Secure Genetic Marker Verification

The rapid advancements in genomics have raised concerns about the privacy of sensitive genetic data. This paper presents Zk-Gene, a Zero-Knowledge Proof (ZKP) framework designed for the secure verification of genetic markers. Zk-Gene ensures that genetic data can be verified without exposing sensitive information, maintaining user privacy while allowing for critical health assessments. We describe the architecture of Zk-Gene, the cryptographic techniques employed, the construction of ZKP circuits for genetic markers, and demonstrate its applicability to genetic testing scenarios. This framework provides an innovative method for safeguarding genetic privacy while enabling essential genetic verifications.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/ginotech63460.2025.11076644
Citations
1
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
2.48
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article

Zk-Gene: A Zero-Knowledge Proof Framework for Secure Genetic Marker Verification

Ashwini S. Jadhav, Mansi More, Sarthak Gangurde, Vijay Gatkal
1 citations
Law, AI, and Intellectual Property
2.48
article

Zk-Gene: A Zero-Knowledge Proof Framework for Secure Genetic Marker Verification

Ashwini S. Jadhav, Mansi More, Sarthak Gangurde, Vijay Gatkal
article en
1 citations

Abstract

The rapid advancements in genomics have raised concerns about the privacy of sensitive genetic data. This paper presents Zk-Gene, a Zero-Knowledge Proof (ZKP) framework designed for the secure verification of genetic markers. Zk-Gene ensures that genetic data can be verified without exposing sensitive information, maintaining user privacy while allowing for critical health assessments. We describe the architecture of Zk-Gene, the cryptographic techniques employed, the construction of ZKP circuits for genetic markers, and demonstrate its applicability to genetic testing scenarios. This framework provides an innovative method for safeguarding genetic privacy while enabling essential genetic verifications.

Savitribai Phule Pune University (IN)
Openalex Percentile: Top 9%
Law, AI, and Intellectual Property
2.48
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