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Author:

Zhang, Shiqiang (Zhang, Shiqiang.) | Cao, Dongzhi (Cao, Dongzhi.) | Ning, Zhenhu (Ning, Zhenhu.)

Indexed by:

EI Scopus SCIE

Abstract:

The combination of edge computing (EC) and the Internet of Things is a hot research topic. And security is one of the most important problems to be solved. The trust measurement of devices is an effective way to solve the security problem, and the lack of a unified trust measurement model makes the untrusted devices destroy the quality of service. Establishing a reliable trust relationship between devices can effectively improve the security of the system. A decentralized trust measurement model for devices is proposed. First, a decentralized trust measurement framework is proposed, which combines EC with blockchain technology to establish a decentralized hierarchical structure; second, the credibility of devices is measured from multilevel and multi-attribute; finally, a feedback trust filtering mechanism is designed to filter reliable feedback information, and then the trust between devices and the comprehensive trust of devices are calculated. Experiments and analysis show that the proposed decentralized trust measurement model can effectively measure the trust degree of devices and resist various malicious feedback attacks.

Keyword:

Internet of Things blockchain edge computing trust measurement

Author Community:

  • [ 1 ] [Zhang, Shiqiang]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Cao, Dongzhi]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Ning, Zhenhu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

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Source :

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

ISSN: 1532-0626

Year: 2022

Issue: 24

Volume: 34

2 . 0

JCR@2022

2 . 0 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:46

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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