ZeroPrint Verification: Efficient Biometric Proofs for Secure Elections

Abstract

Biometric encryption, especially those that are fingerprint-based, plays a dual, important role in identity authentication as well as in privacy protection. Considering the crucial issue of verifying voters in electronic voting systems, ensuring voter privacy and securing sensitive biometric data is considered important. We provide an innovative approach to the integration of fingerprint authentication through biometrics with zero-knowledge proof, thus serving dual purposes of robustness in identity verification while retaining confidentiality at the level of individual voter data. We have a two-node setup architecture in which one is the Prover Node, and the other is the Verifier Node. It will process the fingerprint of the voter to create a key point cryptographic hash and transmit it to the Verifier Node by using ZKP techniques that assure no revealing of sensitive information. This will be further tested rigorously through performance metrics like latency, bandwidth, CPU usage, and memory consumption. Results have shown very low latency times in relationship to both the Prover Node and the Verifier Node, very low bandwidth usage, and efficient use of CPU and memory, which underlines efficiency and capability related to resource management of the system. The integration of biometric data with ZKP not only enhances the security and privacy of electronic voting systems but also proves viable for real-world application. The findings advocate for the broader adoption of such technologies in digital democracy initiatives, potentially transforming future electoral processes.