Biometric-Based Seed Extraction Scheme for Multi-quadratic-Based Post-quantum Computing

Abstract

PQC (Post-Quantum Cryptography) is rapidly developing in order to provide stable and reliable quantum-resistant cryptography throughout the industry. Like the existing public key cryptography, it does not prevent a third-party using the secret key when the third party obtains the secret key by deception, unauthorized sharing, or unauthorized proxying. The most effective alternative to prevent such an illegal use is the utilization of biometrics. In this paper, we propose a biometric-based seed extraction scheme by applying PCA (Principal Component Analysis)-based CI (Confidence Interval) as a feature extraction method. The bio-seed can be a good helper data to generate biometric-based secret key in PQC such as Rainbow. It is helpful to prevent using the secret key by an unauthorized third party through biometric recognition as well as to generate a shorter secret key.