Decentralized AI-Enabled Trusted Wireless Network: A New Collaborative Computing Paradigm for Internet of Things

被引:3
|
作者
Shao, Sujie [1 ]
Zheng, Juntao [1 ]
Guo, Shaoyong [1 ]
Qi, Feng [1 ]
Qiu, Xuesong [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing, Peoples R China
来源
IEEE NETWORK | 2023年 / 37卷 / 02期
基金
中国国家自然科学基金;
关键词
6G mobile communication; Wireless networks; Security management; Collaboration; Authentication; Blockchains; Internet of Things; Industrial Internet of Things; BLOCKCHAIN;
D O I
10.1109/MNET.002.2200391
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the innovative technology development and wide application in industrial Internet, internet of things (IoT) is increasingly showing the characteristics of regional autonomy and distributed decentralized interconnection. For its large-coverage and unique high-speed wireless multi-service differentiated access capabilities, 6G has become a promising networking technology in distributed and decentralized IoT. However, its introduction will further aggravate the problems of trusted access, trusted resource collaboration and security prevention in distributed and decentralized IoT. As a technology that can reliably store and share untrustworthy key information among multiple distributed networks, blockchain can provide a feasible solution to the above problems with the optimization capabilities of Artificial Intelligence (AI). This article combines blockchain and AI to propose a collaborative computing paradigm for IoT to support decentralized trusted wireless network. First, a decentralized trusted collaborative computing architecture is designed based on the interaction of the main-side chains to provide and manage the trusted collaborative computing services within and among the 6G-based wireless communication networks. Next, a multi-factor enhanced authentication unit that integrates the resource allocation in wireless network is constructed. Meanwhile a decentralized trusted collaborative authentication mechanism based on the cross-layer state channel is proposed. After that, this article proposes a decentralized trusted resource collaboration mechanism based on AI, which dynamically and flexibly allocates intra-do-main and inter-domain resources with the requirements of service collaboration, to improve service capabilities. Finally, a trusted collaborative security management and control mechanism based on AI for monitoring and handling abnormal events is proposed to ensure the reliability and security of terminal access and service transmission.
引用
收藏
页码:54 / 61
页数:8
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