【Author】
Zhang, Xu; Hou, Haibo
【Source】2021 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB)
【Abstract】With the accelerated integration of the Internet and traditional industries, it is essential to study the Industrial Internet of Things (IIoT) based on device identification. Among the organizational elements of the IIoT, the device identifier is the key technology to realize the rapid development of the IIoT. However, IIoT faces many challenges (equipment security, communication security, data sharing, data security, etc.). This paper proposes a framework to realize the problem of data sharing and ensures the reliability of communication between network nodes. In the framework, the AI model is designed according to the device identifiers in the network and federated learning (FL) technology is used to realize the problem of data sharing. However, there are some limitations in FL. In this paper, we employ blockchain technology to ensure the security of data and proposed an algorithm to realize the reliability of communication.
【Keywords】Industrial Internet of Things; device identifier; data sharing; federated learning; blockchain
【摘要】随着互联网与传统行业的加速融合，研究基于设备识别的工业物联网（IIoT）势在必行。在 IIoT 的组织要素中，设备标识符是实现 IIoT 快速发展的关键技术。然而，IIoT面临着诸多挑战（设备安全、通信安全、数据共享、数据安全等）。本文提出了一个框架来实现数据共享问题，保证网络节点间通信的可靠性。在该框架中，根据网络中的设备标识符设计AI模型，并采用联邦学习（FL）技术实现数据共享问题。但是，FL 有一些限制。在本文中，我们采用区块链技术来保证数据的安全性，并提出了一种算法来实现通信的可靠性。
【关键词】工业物联网；设备标识符；数据共享；联邦学习；区块链
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