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

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.