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
相关论文
共 50 条
  • [1] A Decentralized and Trusted Edge Computing Platform for Internet of Things
    Cui, Laizhong
    Yang, Shu
    Chen, Ziteng
    Pan, Yi
    Ming, Zhong
    Xu, Mingwei
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (05) : 3910 - 3922
  • [2] AI-enabled learning techniques for Internet of Things communications
    Souri, Alireza
    Chen, Mu-Yen
    JOURNAL OF HIGH SPEED NETWORKS, 2021, 27 (03) : 203 - 204
  • [3] AI-Enabled Consensus Algorithm in Human-Centric Collaborative Computing for Internet of Vehicle
    Sun, Chenxi
    Li, Danyang
    Wang, Beilei
    Song, Jie
    SYMMETRY-BASEL, 2023, 15 (06):
  • [4] AI-Enabled Collaborative Distributed Computing in Networked UAVs
    Mokhtar, Bassem
    IEEE ACCESS, 2024, 12 : 96515 - 96526
  • [5] Hyperconnected Network: A Decentralized Trusted Computing and Networking Paradigm
    Yin, Hao
    Guo, Dongchao
    Wang, Kai
    Jiang, Zexun
    Lyu, Yongqiang
    Xing, Ju
    IEEE NETWORK, 2018, 32 (01): : 112 - 117
  • [6] Taming Data Quality in AI-Enabled Industrial Internet of Things
    Sen, Sagar
    Husom, Erik Johannes
    Goknil, Arda
    Tverdal, Simeon
    Phu Nguyen
    Mancisidor, Iker
    IEEE SOFTWARE, 2022, 39 (06) : 35 - 42
  • [7] Edge Computing Enabled Resilient Wireless Network Virtualization for Internet of Things
    Rawat, Danda B.
    Parwez, Md. Salik
    Alshammari, Abdullah
    2017 IEEE 3RD INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING (CIC), 2017, : 155 - 162
  • [8] P4 and NetFPGA-Based Secure In-Network Computing Architecture for AI-Enabled Industrial Internet of Things
    Sankaran, Ganesh C. C.
    Sivalingam, Krishna M. M.
    Gondaliya, Harsh
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (04) : 2979 - 2994
  • [9] AI-Enabled Wearable Medical Internet of Things in Healthcare System: A Survey
    Subhan, Fazli
    Mirza, Alina
    Su'ud, Mazliham Bin Mohd
    Alam, Muhammad Mansoor
    Nisar, Shibli
    Habib, Usman
    Iqbal, Muhammad Zubair
    APPLIED SCIENCES-BASEL, 2023, 13 (03):
  • [10] AI-Enabled Energy-Efficient Fog Computing for Internet of Vehicles
    Tariq, Hira
    Javed, Muhammad Awais
    Alvi, Ahmad Naseem
    Hasanat, Mozaherul Hoque Abul
    Khan, Muhammad Badruddin
    Saudagar, Abdul Khader Jilani
    Alkhathami, Mohammed
    JOURNAL OF SENSORS, 2022, 2022