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author:

Li, Chao (Li, Chao.) [1] | Yang, Hui (Yang, Hui.) [2] | Sun, Zhengjie (Sun, Zhengjie.) [3] | Yao, Qiuyan (Yao, Qiuyan.) [4] | Bao, Bowen (Bao, Bowen.) [5] | Zhang, Jie (Zhang, Jie.) [6] | Vasilakos, Athanasios V. V. (Vasilakos, Athanasios V. V..) [7]

Indexed by:

EI Scopus SCIE

Abstract:

The Industrial Internet of Things (IIoT) is considered to be one of the most promising revolutionary technologies to increase productivity. With the refined development of manufacturing, the entire manufacturing process is split up into several areas of IoT production. Devices from different domains cooperate to perform the same task, which cause security problems in interacted communication among them. Existing authentication methods cause heavy key management overhead or rely on a trusted third party. It is imperative to protect privacy and ensure the credibility of the device during device interaction. This article proposes a federated hierarchical trust interaction scheme (FHTI) for the cross-domain industrial IoT. It builds a low-privacy network platform through blockchain and protects the data privacy of the IIoT. A hierarchical trust mechanism based on federated detection is designed to realize the unified trust evaluation of cross-domain devices. A trusted cross-domain method based on device trust value is designed to ensure the security and trustworthiness of cross-domain devices. The simulation results show that the FHTI scheme can improve the speed of identity authentication and the detection accuracy of malicious devices.

Keyword:

Blockchain cross-domain federated learning Industrial Internet of Things (IIoT)

Community:

  • [ 1 ] [Li, Chao]Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
  • [ 2 ] [Yang, Hui]Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
  • [ 3 ] [Sun, Zhengjie]Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
  • [ 4 ] [Yao, Qiuyan]Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
  • [ 5 ] [Bao, Bowen]Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
  • [ 6 ] [Zhang, Jie]Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China
  • [ 7 ] [Vasilakos, Athanasios V. V.]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350116, Peoples R China
  • [ 8 ] [Vasilakos, Athanasios V. V.]Univ Agder, Ctr AI Res, N-4879 Grimstad, Norway

Reprint 's Address:

  • [Yang, Hui]Beijing Univ Posts & Telecommun, State Key Lab Informat Photon & Opt Commun, Beijing 100876, Peoples R China;;

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Source :

IEEE INTERNET OF THINGS JOURNAL

ISSN: 2327-4662

Year: 2023

Issue: 1

Volume: 10

Page: 447-457

8 . 2

JCR@2023

8 . 2 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:32

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 17

SCOPUS Cited Count: 25

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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