A Framework for the Security and Privacy of Biometric System Constructions under Defined Computational Assumptions

TL;DR

This paper presents a formal framework for designing biometric systems that ensures security and privacy through modular analysis based on universal composability and computational assumptions.

Contribution

It introduces a novel formal framework that enables rigorous security and privacy proofs for biometric systems using modular, composable components.

Findings

Framework allows modular security analysis

Strong security guarantees derived from computational assumptions

Enables formal verification of biometric system components

Abstract

Biometric systems, while offering convenient authentication, often fall short in providing rigorous security assurances. A primary reason is the ad-hoc design of protocols and components, which hinders the establishment of comprehensive security proofs. This paper introduces a formal framework for constructing secure and privacy-preserving biometric systems. By leveraging the principles of universal composability, we enable the modular analysis and verification of individual system components. This approach allows us to derive strong security and privacy properties for the entire system, grounded in well-defined computational assumptions.