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Author:

Zhai, Peng (Zhai, Peng.) | He, Jingsha (He, Jingsha.) (Scholars:何泾沙) | Zhu, Nafei (Zhu, Nafei.)

Indexed by:

Scopus SCIE

Abstract:

The integration of information systems and physical systems is the development trend of today's manufacturing industry. Intelligent manufacturing is a new model of manufacturing, based on advanced manufacturing technology with human-machine-material collaboration. Internet of Things technology is the core technology of intelligent manufacturing, and access control technology is one of the main measures to ensure the security of the IoT. In view of the problem that the existing IoT access control model does not support distributed and fine-grained dynamic access control, this paper uses the characteristics of blockchain, such as decentralization and non-tampering, combined with the attribute-based access control (ABAC) method, to propose a distributed access control method, applicable to the IoT environment in the process of intelligent manufacturing. This paper describes a fine-grained access control policy by defining the access control attribute values in a formal language, which supports complex logic operations in the policy and enhances the expressiveness of the model. Distributed access control decision making, using smart contracts for blockchain, improves the decision-making efficiency of the access control model, increases the post-facto audit of the access control behavior, and improves the overall security of IoT data protection. The paper concludes with proof of security and a performance analysis, and the experimental results, such as storage and computing overheads, show that this method can provide fine-grained, dynamic, and distributed access control for devices in intelligent manufacturing, ensuring the security and reliability of access control for IoT devices.

Keyword:

blockchain access control IoT intelligent manufacturing

Author Community:

  • [ 1 ] [Zhai, Peng]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [He, Jingsha]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Zhu, Nafei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Zhai, Peng]Jining Univ, Sch Math & Comp Applicat Technol, Jining 273100, Peoples R China

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Source :

APPLIED SCIENCES-BASEL

Year: 2022

Issue: 7

Volume: 12

2 . 7

JCR@2022

2 . 7 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:49

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 10

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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