Noise-Based Authentication: Is It Secure?

TL;DR

This paper explores the security of noise-based biometric authentication by analyzing unique biological noise fingerprints and their potential vulnerabilities in blockchain identity systems.

Contribution

It introduces a novel concept of using thermal noise amplitudes for biometric authentication and discusses the security implications and open questions.

Findings

Unique noise fingerprints can identify individuals.

Biological noise may leak sensitive information.

Open questions remain on robustness of noise-based security.

Abstract

This paper introduces a three-point biometric authentication system for a blockchain-based decentralized identity network. We use existing biometric authentication systems to demonstrate the unique noise fingerprints that belong to each individual human and the respective information leak from the biological characteristics. We then propose the concept of using unique thermal noise amplitudes generated by each user and explore the open questions regarding the robustness of unconditionally secure authentication.