Netinfo Security ›› 2022, Vol. 22 ›› Issue (6): 86-93.doi: 10.3969/j.issn.1671-1122.2022.06.009

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Research on Dynamic Access Control Model of Sensitive Data Based on Zero Trust

GUO Baoxia1,2, WANG Jiahui3, MA Limin1,2, ZHANG Wei2()   

  1. 1. Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science & Technology University, Beijing 100101, China
    2. School of Computer, Beijing Information Science & Technology University, Beijing 100101, China
    3. Department of Information and Security, the State Information Center, Beijing 100045, China
  • Received:2022-03-09 Online:2022-06-10 Published:2022-06-30
  • Contact: ZHANG Wei E-mail:zhwei@bistu.edu.cn

Abstract:

With the advent of the era of big data, the security of sensitive data has attracted increasing attention. At present, most of the existing systems consider the access subject’s identity to be trusted after successful authentication, but once the attacker uses the lost subject as a springboard to invade the network, he may steal or destroy sensitive data. Therefore, it is urgent to study a fine-grained and flexible access control mechanism to protect the sensitive information resources of the system. Based on zero trust architecture, this paper proposes a trust evaluation algorithm by analyzing the characteristics of access subject and access object of the current protected system. By acquiring multi-source attributes for dynamic trust evaluation, the algorithm can quickly reduce the trust value of the lost subject when it has abrupt behavior, and timely block the threat of the lost subject in the authentication. The system implements dynamic authorization through attribute encryption to reduce the possibility of excessive access to sensitive resources. Experimental results show that this model can realize dynamic control of access authorization, and ensure that the time and memory cost of the system are in a reasonable range.

Key words: zero trust, dynamic access control, trust assessment, sensitive data

CLC Number: