Formal Analysis of ReBAC Policy Mining Feasibility
Formal Analysis of ReBAC Policy Mining Feasibility
复制标题
ReBAC策略挖矿可行性的形式化分析
DOI:
10.1145/3422337.3447828
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Sandhu, Ravi
中科院分区:
文献类型:
--
作者:
Chakraborty, Shuvra;Sandhu, Ravi
Relationship-Based Access Control (ReBAC) expresses authorization in terms of various direct and indirect relationships amongst entities, most commonly between users. The need for ReBAC policy mining arises when an existing access control system is reformulated in ReBAC. This paper considers the feasibility of ReBAC policy mining in context of user to user authorization, such as arises in various social and business contexts. In accordance with the policy mining literature, we assume that complete data is provided regarding user to user authorizations for a given user set, along with complete relationship data amongst these users comprising a labeled relationship graph. A ReBAC policy language is also specified. ReBAC policy mining seeks to formulate a ReBAC policy with the given policy language and relationship graph, which is exactly equivalent to the given authorizations. ReBAC policy mining feasibility problem asks whether such a policy exists and if so to provide the policy. We investigate this problem in context of different ReBAC policy languages which differ in the relationships, inverse relationships and non-relationships that can be used to build the policy. We develop a feasibility detection algorithm and analyze its complexity. We show that our policy languages are progressively more expressive as we introduce additional capability. In case of infeasibility, various solution approaches are discussed.
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DOI:
--
发表时间:
2016
期刊:
IEEE International Conference on Information Reuse and Integration
影响因子:
--
作者:
Tahmina Ahmed;Farhan Patwa;R. Sandhu
通讯作者:
R. Sandhu
DOI:
10.1007/978-3-030-18419-3_18
发表时间:
2018
期刊:
Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy
影响因子:
--
作者:
Thang Bui;S. Stoller;Jiajie Li
通讯作者:
Jiajie Li
DOI:
--
发表时间:
2018
期刊:
Conference on Data and Application Security and Privacy
影响因子:
--
作者:
A. Masoumzadeh
通讯作者:
A. Masoumzadeh
DOI:
10.1145/3381991.3395619
发表时间:
2020
期刊:
Proceedings of the 25th ACM Symposium on Access Control Models and Technologies (SACMAT 2020
影响因子:
--
作者:
Bui, Thang;Stoller, Scott D.
通讯作者:
Stoller, Scott D.
影响因子:
5.6
作者:
Bui, Thang;Stoller, Scott D.;Li, Jiajie
通讯作者:
Li, Jiajie