Cloud-Based Gait Biometric Identification in Smart Home Ecosystem

Abstract

As smart homes continue to proliferate, ensuring robust security measures becomes a pressing concern. Traditional authentication methods such as passwords and PINs are increasingly vulnerable to sophisticated attacks. This research proposes the implementation of cloud-based gait biometric identification in a smart home ecosystem to address these security challenges. By integrating gait recognition technology with the cloud, this study aims to enhance smart home security while providing a seamless and reliable access control mechanism. The research explores the enrollment process, gait biometric authentication, and access control within the smart home ecosystem. Additionally, it investigates the integration of real-time monitoring and security alerts, enabling prompt responses to potential threats. The cloud-based approach offers scalability, privacy, and data integrity, making it suitable for multiple residents and expanding smart home infrastructures. This research contributes to the growing body of knowledge on biometric authentication and IoT security, offering a viable solution to safeguard the smart homes of the future.