Preserving User Privacy in the Internet of Things through Secure Machine Learning Techniques

This chapter presents a comprehensive survey of existing machine learning-based approaches and mechanisms for preserving the privacy of user data in the Internet of Things (IoT) environment. It discusses various centralized and distributed learning-based schemes, as well as techniques integrating encryption and differential privacy principles, to protect sensitive user information in IoT systems.