ABSTRACT
Artificial Internet of Things (AIoT) is a new trend, especially for future networks. The rapid adoption of these networks offered new services where devices are equipped with specialized sensors based on intelligent transactions and control of service systems to improve the quality of life. The rapid adoption of these networks opens new security and protection threats for maintaining end nodes’ or users’ privacy and trust against disruptive attacks designed to incur financial losses. These networks are connected to edge and cloud networks, and their trustworthiness is another challenge for AIoT networks because AIoT connects trillions of users, devices, systems, objects, and interfaces delivering autonomous internet-based services. These services and systems have suffered from implementation issues, security vulnerabilities, trust, privacy, and architectural and infrastructural considerations. AIoT is designed to benefit users by creating compound impacts through close and handy interconnectivity and interoperability among processes, things, data, systems, institutes, and individuals over heterogeneous platforms. This chapter presents the future user privacy and trust research challenges that still need to be addressed for AIoT networks. This chapter also discusses the new trend and usage of blockchain and artificial intelligence in AIoT networks.
