Security provisioning has become the most important design consideration for large-scale Internet of Things (IoT) systems due to their critical roles in supporting diverse vertical applications by connecting heterogenous devices, machines, and industry processes. Conventional authentication and authorization schemes are insufficient to overcome the emerging IoT security challenges due to their reliance on both static digital mechanisms and computational complexity for improving security levels. Furthermore, the isolated security designs for different layers and link segments while ignoring the overall protection leads 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 base station to identify the prearranged access time sequences or frequency bands or codes used in IoT devices. Then we propose a holistic authentication and authorization approach, where online machine learning and trust management are adopted for 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 systems. Finally, we outline several areas for AI-enabled security provisioning for future research.

中文翻译：

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大规模物联网中的快速身份验证和渐进式授权：如何利用AI来增强安全性

安全配置已成为大型物联网（IoT）系统的最重要设计考虑因素，因为它们在通过连接异构设备，机器和行业流程来支持各种垂直应用程序中发挥关键作用。传统的身份验证和授权方案不足以克服新兴的IoT安全挑战，因为它们既依赖静态数字机制又依赖于提高安全性的计算复杂性。此外，针对不同层和链路段的隔离安全设计，而忽略了总体保护，则会导致级联的安全风险以及不断增加的通信延迟和开销。在这篇文章中，我们设想了新的支持人工智能（AI）的安全性配置方法，以克服这些问题，同时实现快速身份验证和渐进式授权。更具体地说，通过探索基站的机器学习来开发轻型智能身份验证方法，以识别物联网设备中使用的预先安排的访问时间序列或频带或代码。然后，我们提出了一种整体的认证和授权方法，其中采用在线机器学习和信任管理来实现自适应访问控制。这些新的支持AI的方法可快速建立收发器之间的连接并逐步增强安全性，从而可以减少通信延迟，并在大规模物联网系统中很好地控制安全风险。最后，