Enhanced Smart Home Security Using Revocable Biometrics, Adaptive Authentication, And PUF-Based Protection

Abstract

The rapid adoption of smart home Internet of Things (IoT) technologies has intensified the demand for secure, efficient, and privacy-preserving user authentication mechanisms. Existing revocable biometric-based authentication schemes provide certain security advantages; however, they often suffer from high computational complexity and limited adaptability to evolving security threats. This paper proposes a novel and efficient authentication framework for smart home IoT networks that integrates revocable biometrics with an optimized secret sharing protocol. A dynamic biometric revocation and update mechanism is introduced to ensure secure template replacement and long-term privacy preservation. Furthermore, a risk-based multi-factor authentication scheme is incorporated, enabling adaptive authentication levels based on real-time risk assessment. The proposed system employs a PUF-based mechanism to prevent device cloning attacks and ensures resistance against replay, man-in-the-middle, and stolen device attacks. Performance evaluations demonstrate improved computational efficiency, scalability, and enhanced privacy protection, making the framework suitable for resource-constrained smart home IoT environments.