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Cross-domain dynamic access control based on “blockchain + artificial intelligence”

  • Fengling Wang
  • , Zhenlong Hu*
  • , Han Wang
  • , Xingji Chen
  • , Weigong Feng
  • *Corresponding author for this work
  • Hezhou University
  • City University of Macau
  • Zhejiang Agriculture and Forestry University
  • Chinese Academy of Sciences
  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Access control is widely recognised by the public, and people’s demand for secure access control (AC) has gradually increased. Artificial intelligence technology has been widely used in cross-domain dynamic AC, driving the development of AC. To make public AC stable and secure, this text used a regional chain and AI technology to study domain dynamic AC. The text first discusses the necessity of cross-domain AC research, then introduces several common AC models, and finally explains the application of blockchain and AI in AC. Based on this, this text describes the design of a cross-domain dynamic AC model based on “blockchain + AI” and finally reviews simulation experiments conducted to compare the performance of several ACs. The cross-domain dynamic AC model based on “blockchain + AI” proposed in this text is superior to other AC models in terms of confidentiality, integrity, availability, efficiency and legitimate use. Its legal usage is 25.3% higher than that of the identity-based access control (IBAC) model. The test results described in this text show that the use of regional chain and AI technology can greatly improve the effect of AC, thus providing an impetus for the development of AC.

Original languageEnglish
Pages (from-to)24575-24585
Number of pages11
JournalNeural Computing and Applications
Volume35
Issue number35
DOIs
StatePublished - Dec 2023
Externally publishedYes

Keywords

  • Access control
  • Artificial intelligence
  • Blockchain
  • Cross-domain

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