AI-powered biometrics for Internet of Things security: A review and future vision

Abstract

Biometrics is a set of advanced technologies that use the physical or behavioral characteristics of individuals to provide reliable access control. With the rapid development in information and communication technology, biometrics has become an increasingly important field, especially with the integration of artificial intelligence (AI). Fingerprint- and facial-recognition technologies have been significantly improved by the use of AI. The widespread use of the Internet of Things (IoT) has led to security challenges and created new opportunities for biometrics to be used in various applications. This review provides a comprehensive analysis of intelligent or AI-powered biometrics, focusing on the integration of AI and biometrics for building security measures to improve IoT security. Due to their enhanced security and usability, biometric-based authentication methods are becoming increasingly popular in IoT environments. AI algorithms are essential for improving biometric systems in IoT applications by enabling advanced pattern recognition and adaptive decision-making. Furthermore, the integration of biometrics with AI and the IoT can help mitigate security risks, ensuring the protection of data and user privacy. This review makes three main contributions: it provides a comprehensive analysis of the interdependencies between the AI, biometrics, and IoT domains; it covers the applications of AI and biometrics in the context of the IoT; and it highlights the current challenges and future research directions for the deployment of intelligent biometrics in various IoT application domains. Furthermore, this review facilitates further research in the area of the application of intelligent biometrics in IoT applications.