【Author】
Wang, Fengling; Hu, Zhenlong; Wang, Han; Chen, Xingji; Feng, Weigong
【Source】NEURAL COMPUTING & APPLICATIONS
【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. [Wang, Fengling; Chen, Xingji] Hezhou Univ, Sch Artificial Intelligence, Hezhou 542899, Guangxi, Peoples R China; [Wang, Fengling; Wang, Han] City Univ Macau, Sch Data Sci, Macau 999078, Peoples R China; [Hu, Zhenlong] Zhejiang A&F Univ, Jiyang Coll, Zhuji 311800, Zhejiang, Peoples R China; [Wang, Han] Chinese Acad Sci, Zhuhai Inst Adv Technol, Zhuhai 519000, Guangdong, Peoples R China; [Feng, Weigong] Beijing Inst Technol, Zhuhai 519000, Guangdong, Peoples R China Hu, ZL (通讯作者)，Zhejiang A&F Univ, Jiyang Coll, Zhuji 311800, Zhejiang, Peoples R China. 201600060@hzxy.edu.cn; 20208120@zafu.edu.cn; luckanny111@163.com; 201300009@hzxy.edu.cn; 41965942@qq.com Jiyang College of Zhejiang AF University [RC2021A03] Jiyang College of Zhejiang AF University This research was supported by Jiyang College of Zhejiang A & F University under Grant No.RC2021A03. 16 0 0 0 0 SPRINGER LONDON LTD LONDON 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND 0941-0643 1433-3058 NEURAL COMPUT APPL Neural Comput. Appl. 10.1007/s00521-023-08360-z http://dx.doi.org/10.1007/s00521-023-08360-z MAR 2023 11 Computer Science, Artificial Intelligence Science Citation Index Expanded (SCI-EXPANDED) Computer Science 9O4WQ 2023-03-27 WOS:000943603500003
【Keywords】Access control; Cross-domain; Blockchain; Artificial intelligence
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