Artificial intelligence-aided privacy preserving trustworthy computation and communication in 5G-based IoT networks

Abstract

5G offers unprecedented bandwidth coupled with extremely low latency and an extraordinarily high density of connections as well as the increased efficiency and reliability. These are slated to support 5G-based IoT services such as basic safety, fuel-economy, entertainment, surveillance, etc., which are observed in many applications, like vehicular networks and smart healthcare systems. However, cyber-attacks to the 5G network architecture pose severe risks to communication and computational services. Thus, we need to develop mechanisms to enhance the current untrustworthy 5G networks as well as to preserve 5G privacy capabilities, which then makes 5G workable for the modern operations and activities of IoT networks. In this paper, we firstly present the recent trust management and privacy preservation mechanisms, which are usually used for the communications of IoT networks. Then, we develop the artificial intelligence (AI)-aided framework to address the joint privacy preserving trustworthy communication and computation in 5G-enabled IoT networks, which is neglected in the existing research works. Finally, we highlight the potential future directions and their corresponding trust and privacy challenges in 5G-enabled IoT networks.