Generative Artificial Intelligence (GAI) possesses the capabilities of
generating realistic data and facilitating advanced decision-making. By
integrating GAI into modern Internet of Things (IoT), Generative Internet of
Things (GIoT) is emerging and holds immense potential to revolutionize various
aspects of society, enabling more efficient and intelligent IoT applications,
such as smart surveillance and voice assistants. In this article, we present
the concept of GIoT and conduct an exploration of its potential prospects.
Specifically, we first overview four GAI techniques and investigate promising
GIoT applications. Then, we elaborate on the main challenges in enabling GIoT
and propose a general GAI-based secure incentive mechanism framework to address
them, in which we adopt Generative Diffusion Models (GDMs) for incentive
mechanism designs and apply blockchain technologies for secure GIoT management.
Moreover, we conduct a case study on modern Internet of Vehicle traffic
monitoring, which utilizes GDMs to generate effective contracts for
incentivizing users to contribute sensing data with high quality. Finally, we
suggest several open directions worth investigating for the future popularity
of GIoT.

通过将生成式人工智能（GAI）与现代物联网（IoT）相结合，我们提出了生成式物联网（GIoT）的概念，并研究了其潜在前景。我们介绍了四种 GAI 技术，讨论了 GIoT 的应用，并提出了一个基于 GAI 的安全激励机制框架，使用生成扩散模型（GDMs）进行机制设计，并应用区块链技术进行安全的 GIoT 管理。最后，我们通过现代车辆的交通监测案例研究，展示了利用 GDMs 生成有效合同来激励用户提供高质量感知数据。未来还有一些值得研究的开放方向，以促进 GIoT 的普及。