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

  • S.I. : Applications and Techniques in Cyber Intelligence (ATCI2022)
  • Published:
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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.

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Data availability

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

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Funding

This research was supported by Jiyang College of Zhejiang A&F University under Grant No.RC2021A03.

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Authors and Affiliations

  1. School of Artificial Intelligence, Hezhou University, Hezhou, 542899, Guangxi, China

    Fengling Wang & Xingji Chen

  2. School of Data Science, City University of Macau, Macao, 999078, Macao, China

    Fengling Wang & Han Wang

  3. Jiyang College of Zhejiang A&F University, Zhuji, 311800, Zhejiang, China

    Zhenlong Hu

  4. Zhuhai Institute of Advanced Technology Chinese Academy of Sciences, Zhuhai, 519000, Guangdong, China

    Han Wang

  5. Beijing Institute of Technology, Zhuhai, 519000, Guangdong, China

    Weigong Feng

Authors
  1. Fengling Wang
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  2. Zhenlong Hu
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  3. Han Wang
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Correspondence to Zhenlong Hu.

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Wang, F., Hu, Z., Wang, H. et al. Cross-domain dynamic access control based on “blockchain + artificial intelligence”. Neural Comput & Applic 35, 24575–24585 (2023). https://doi.org/10.1007/s00521-023-08360-z

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  • DOI: https://doi.org/10.1007/s00521-023-08360-z

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