Genomic Encryption of Biometric Information for Privacy-Preserving Forensics

TL;DR

This paper introduces a cryptographic framework that encrypts DNA and biometric data together, revealing sensitive information only upon a successful match, thereby enhancing privacy in forensic and clinical applications.

Contribution

A novel encryption scheme that links DNA fingerprints with other biometrics, enabling privacy-preserving searches and secure identity verification.

Findings

Ensures perfect privacy for non-matching records.

Reveals biometric data only upon successful STR match.

Applicable to forensic, clinical, and identity verification scenarios.

Abstract

DNA fingerprinting is a cornerstone for human identification in forensics, where the sequence of highly polymorphic short tandem repeats (STRs) from an individual is compared against a DNA database. This presents significant privacy risks to individuals with DNA profiles in the database due to hacking by malicious attackers who may access the data and misuse it for secondary purposes. In this paper, we propose a novel cryptographic framework for jointly encrypting DNA-based fingerprints (STRs) with other biometric data, for example, facial images, such that the STRs and biometrics information of an individual are revealed only when a positive match is found, i.e. the STRs act as decryption keys. Specifically, when a search is performed on the encrypted database using STR sequences of an individual in the database, a perfect match generates the facial image and/ or other biometrics of the individual while the lack of a match returns a null result. By jointly encrypting DNA fingerprints and other biometrics using the unique STRs generated keys, our approach ensures perfect privacy of the encrypted information with decryption of only the record with STRs matching the query. This safeguards the information of other individuals in the same database. The proposed approach can also be used to securely authenticate the identity of individuals or biological material in scenarios beyond forensics including tracking the identity of samples for clinical genetics and cell therapies.