  Security provisioning has become the most important design consideration for
large-scale Internet of Things (IoT) systems due to their critical roles to
support diverse vertical applications by connecting heterogenous devices,
machines and industry processes. Conventional authentication and authorization
schemes are insufficient in dealing the emerging IoT security challenges due to
their reliance on both static digital mechanisms and computational complexity
for improving security level. Furthermore, the isolated security designs for
different layers and link segments while ignoring the overall protection lead
to cascaded security risks as well as growing communication latency and
overhead. In this article, we envision new artificial intelligence (AI) enabled
security provisioning approaches to overcome these issues while achieving fast
authentication and progressive authorization. To be more specific, a
lightweight intelligent authentication approach is developed by exploring
machine learning at the gateway to identify the access time slots or
frequencies of resource-constraint devices. Then we propose a holistic
authentication and authorization approach, where online machine learning and
trust management are adopted for analyzing the complex dynamic environment and
achieving adaptive access control. These new AI enabled approaches establish
the connections between transceivers quickly and enhance security
progressively, so that communication latency can be reduced and security risks
are well-controlled in large-scale IoT. Finally, we outline several areas for
AI-enabled security provisioning for future researches.
