Managing Attribute-Based Access Control Policies in a Unified Framework using Data Warehousing and In-Memory Database.

Attribute Based Access control Authorization Data warehousing In-memory database Meta-policy Unified security policy

Journal

Computers & security
ISSN: 0167-4048
Titre abrégé: Comput Secur
Pays: England
ID NLM: 9881584

Informations de publication

Date de publication:
Sep 2019
Historique:
entrez: 31 10 2019
pubmed: 31 10 2019
medline: 31 10 2019
Statut: ppublish

Résumé

Over the last few years, various types of access control models have been proposed for expressing the growing needs of organizations. Out of these, there is an increasing interest towards specification and enforcement of flexible and dynamic decision making security policies using Attribute Based Access Control (ABAC). However, it is not easy to migrate an existing security policy specified in a different model into ABAC. Furthermore, there exists no comprehensive approach that can specify, enforce and manage ABAC policies along with other policies potentially already existing in the organization as a unified security policy. In this article, we present a unique and flexible solution that enables concurrent specification and enforcement of such security policies through storing and querying data in a multi-dimensional and multi-granular data model. Specifically, we present a unified database schema, similar to that traditionally used in data warehouse design, that can represent different types of access control policies and store relevant policies as in-memory data, thereby significantly reducing the execution time of access request evaluation. We also present a novel approach for combining multiple access control policies through meta-policies. For ease of management, an administrative schema is presented that can specify different types of administrative policies. Extensive experiments on a wide range of data sets demonstrate the viability of the proposed approach.

Identifiants

pubmed: 31662590
doi: 10.1016/j.cose.2019.06.001
pmc: PMC6818720
mid: NIHMS1532240
doi:

Types de publication

Journal Article

Langues

eng

Pagination

183-205

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM118574
Pays : United States

Auteurs

Mahendra Pratap Singh (MP)

Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India.

Shamik Sural (S)

Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India.

Jaideep Vaidya (J)

Management Science and Information Systems Department, Rutgers University, USA.

Vijayalakshmi Atluri (V)

Management Science and Information Systems Department, Rutgers University, USA.

Classifications MeSH