Mining Least Privilege Roles by Genetic Algorithm

Author:

Dong Li Jun1,Wang Mao Cai1,Kang Xiao Jun1

Affiliation:

1. China University of Geosciences

Abstract

Role-based access control (RBAC) has been adopted widely by reducing the complexity of the management of access control. The least privilege principle is a very important constraint policy of RBAC. A key problem related to this is the notion of goodness/interestingness – when is a role good? Devising a complete and correct set of roles for supporting the least privilege principle has been recognized as one of the most important tasks in implementing RBAC. In this paper, to address this problem, we map this problem to a formal definition in mathematics – δ-approx least privilege mining (δ-approx LPM). We introduce a method named GABM to enforce LPM based on the generic algorithm. By GABM, the least privilege roles can be found out correctly. Our experiments display the effect of GABM. Finally, we conclude our work.

Publisher

Trans Tech Publications, Ltd.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic Optimization of Role Concepts for Role-Based Access Control Using Evolutionary Algorithms;SN Computer Science;2023-05-24

2. Evolutionary Optimization of Roles for Access Control in Enterprise Resource Planning Systems;Studies in Computational Intelligence;2023

3. Evolutionary Algorithms for the Constrained Two-Level Role Mining Problem;Evolutionary Computation in Combinatorial Optimization;2022

4. The addRole-EA: A New Evolutionary Algorithm for the Role Mining Problem;Proceedings of the 12th International Joint Conference on Computational Intelligence;2020

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