The Contributions of Biometrics and Artificial Intelligence in Securing the IoT
Amal Sammoud, Omessaad Hamdi, Mohamed Aymen Chalouf, Nicolas Montavont · 2022
This chapter focuses on the contributions of biometrics and artificial intelligence in optimizing the security of some Internet of Things (IoT) applications. It introduces the principles of authentication based on biometrics. The chapter presents multifactor authentication techniques based on biometrics, especially for the IoT. It then details authentication techniques based on biometrics and machine learning such as, neural networks, support-vector machines, k-nearest neighbors, and decision tree. Security in the IoT happens mainly by protecting connected objects by ensuring mechanisms such as authentication, access control and detection of malware. Biometric authentication is a technique that calls on the statistical analysis of biological characteristics. In the main, there are two types of biometric techniques that are used for identification applications, physiological techniques and behavioral techniques. Today, security protocols based on biometrics are much used to ensure authentication or verification of identity in environments that demand a fairly high level of security such as e-health.