Post-Quantum Biometric Security Model

• Introduction: Provides an overview of the increasing role of biometrics and the necessity for quantum-resistant protection.

• Biometric Data Vulnerabilities: Explains risks such as spoofing, replay attacks, and permanent compromise of biometric identifiers.

• Quantum Computing Threats: Describes how quantum algorithms like Shor’s can break current encryption securing biometric data.

• Post-Quantum Cryptography (PQC) Overview: Introduces advanced cryptographic techniques designed to resist quantum attacks.

• Hybrid Encryption Architecture: Combines classical encryption with PQC to ensure present and future-proof biometric data security.

• Biometric Template Protection Techniques: Discusses secure storage methods such as cancellable biometrics and template hashing with PQC.

• Model Integration in Authentication Systems: Covers how PQC-enabled biometric security can be applied in mobile, cloud, and IoT authentication.

• Ethical and Privacy Considerations: Addresses data consent, compliance, transparency, and identity misuse concerns in biometric security.

• Conclusion: Summarizes the importance of adopting quantum-resistant models and future research scope.