A RBAC model based on multi-granularities of time constraints

Jun Zheng*, Yuan Tan, Qikun Zhang, Chunxiao Gao, Siyuan Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

By studying the multiple granularities of time constraints' descriptions and consistency problems, in this paper, we establish a dynamic fine-grained access control model, thereby improve the access control precision, quality and efficiency. This paper describes the related concepts of time and the time constraints of multi-granularity. It proposes a kind of TRBAC model with multiple granularities of time constraints by extending the time dimension of the RBAC model. At the same time, it discusses and analyzes the maintenance of the state of the consistency of the system, which enhances the ability of system portray authority in reality and brings it with stronger, more comprehensive description of system security capabilities.

Original languageEnglish
Title of host publicationApplied Informatics and Communication - International Conference, ICAIC 2011, Proceedings
Pages538-549
Number of pages12
EditionPART 4
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Applied Informatics and Communication, ICAIC 2011 - Xi'an, China
Duration: 20 Aug 201121 Aug 2011

Publication series

NameCommunications in Computer and Information Science
NumberPART 4
Volume227 CCIS
ISSN (Print)1865-0929

Conference

Conference2011 International Conference on Applied Informatics and Communication, ICAIC 2011
Country/TerritoryChina
CityXi'an
Period20/08/1121/08/11

Keywords

  • Access control model
  • consistency
  • multi-granularity time restriction
  • time dimension

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Zheng, J., Tan, Y., Zhang, Q., Gao, C., & Wang, S. (2011). A RBAC model based on multi-granularities of time constraints. In Applied Informatics and Communication - International Conference, ICAIC 2011, Proceedings (PART 4 ed., pp. 538-549). (Communications in Computer and Information Science; Vol. 227 CCIS, No. PART 4). https://doi.org/10.1007/978-3-642-23226-8_70