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Lightweight Trusted Identity Architecture Based on Industrial Internet Cloud Edge Collaboration Technology

Published: 03 May 2024 Publication History

Abstract

In industrial Internet system, data security and privacy protection are very important, and data interaction and collaboration need fast and reliable network connection. Lightweight trusted identity architecture needs to support high-speed data transmission and processing, and provide secure authentication and access control mechanisms to prevent unauthorized access and malicious attacks. Therefore, a lightweight trusted identity architecture based on cloud-side collaboration technology of industrial Internet is designed. The data collector is used to collect the lightweight trusted identification data of industrial Internet, and a task scheduling model of industrial Internet is constructed based on cloud-side collaboration technology. On this basis, combined with industrial Internet, trusted applications and logo authorities, the lightweight trusted logo architecture is designed. The experimental results show that the proposed method has high confidence and accuracy of verification information, and can accurately detect and identify industrial Internet attacks, and take corresponding countermeasures in time, thus protecting users' network security.

References

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Bouras, M. A., Lu, Q., Dhelim, S. 2021. A lightweight blockchain-based IoT identity management approach. Future Internet, 13(2): 24-32.
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Ben Saad, S., Ksentini, A., Brik, B. 2022. An end‐to‐end trusted architecture for network slicing in 5G and beyond networks. Security and Privacy, 5(1): e186-e172.
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Hussain, S., Ullah, I., Khattak, H. 2021. A lightweight and provable secure identity-based generalized proxy signcryption (IBGPS) scheme for Industrial Internet of Things (IIoT). Journal of Information Security and Applications, 58: 102625.
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  1. Lightweight Trusted Identity Architecture Based on Industrial Internet Cloud Edge Collaboration Technology

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    SPCNC '23: Proceedings of the 2nd International Conference on Signal Processing, Computer Networks and Communications
    December 2023
    435 pages
    ISBN:9798400716430
    DOI:10.1145/3654446
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 03 May 2024

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