Behavioral Biometrics in IOT: Accuracy in Identity Human Verification Using AI

Abstract

Behavioural biometrics, combined with AI, offers a promising approach to identity verification in IoT, enhancing security and user experience. By analysing unique user behaviours like typing patterns, mouse movements, and navigation habits, AI can accurately identify and authenticate individuals, even continuously throughout a session. This method minimizes friction for users while bolstering security against fraud and unauthorized access. Behavioural biometrics can be particularly useful in IoT environments where devices are often accessed remotely and continuously. For example, smart homes can use behavioural biometrics to authenticate users for access to smart locks or security systems. Overall, AI-powered behavioural biometrics offer a powerful tool for enhancing identity verification in various applications, including IoT. By combining the unique aspects of human behaviour with the processing power of AI, it provides a more secure, convenient, and user-friendly authentication method. 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.