Design of a Secure Internet of Artificially Intelligent Things in the 6G Era

Due to the edge learning advancements, we are witnessing a surge in edge intelligent IoT devices. More and more artificially intelligent things (AIT) are now seen as part of different real-life systems. Researchers have proposed that AIT be part of the future 6G architecture in which the AITs need to be connected securely. High-level 6G architecture will incorporate unit AITs to make bigger digital intelligent eco-systems. While digitally connected AITs will be part of many critical national infrastructures, the security, and privacy of the AITs and human life must be critically considered. Researchers have proposed software-defined security as a service (SDSaaS) to automatically monitor such system vulnerabilities with greater accuracy. In this article, we review the AI-powered security system that will allow the communication between the AITs and their corresponding cyber entities to be secure from security threats. Specifically, we survey the deep learning algorithms that will allow different network elements to be secure from adversaries. Finally, we present a proof-of-concept implementation of our proposed deep learning application. © 2018 IEEE.