Security, Privacy, and Trust of AI-IoT Convergent Smart System
Taye Iyinoluwa Adeyinka, Kehinde Iyioluwa Adeyinka, Ayoade Abolade Emmanuel · Advances in computational intelligence and robotics book series · 2025
Combining AI with IoT transforms conventional systems into highly adaptive, data-driven, and networked intelligent ecosystems. In fact, most of the modernization drives carried out in smart cities, healthcare, manufacturing, and environmental monitoring industries are based on these very AI-IoT systems. AI-IoT integration will hit the future of technology-driven settings pretty fast through improved user experience, efficient management of resources, and real-time decision-making. This chapter covers all security, privacy, and other issues of trust that develop from the convergence of AI with IoT. It provides detailed insights into recent trends and events in privacy-enhancing technologies, such as differential privacy and federated learning. Secure protocol development and trust management schemes cannot be neglected in a trusted AI-IoT ecosystem. .he theoretical and applied approaches, hence opening up ways to some robust and reliable intelligent ecosystems that shall adapt to evolving security and privacy challenges.