Visible to the public XACML Policies into mongoDB for Privacy Access Control

TitleXACML Policies into mongoDB for Privacy Access Control
Publication TypeConference Paper
Year of Publication2017
AuthorsKacimi, Zineb, Benhlima, Laila
Conference NameProceedings of the Mediterranean Symposium on Smart City Application
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-5211-6
KeywordsALFA, Human Behavior, MongoDB, policy, privacy, Privacy Policies, privacy policy, pubcrawl, purpose fine grained access control, Scalability, XACML
Abstract

Nowadays Big data is considered as one of the major technologies used to manage a huge number of data, but there is little consideration of privacy in big data platforms. Indeed, developers don't focus on implementing security best practices in their programs to protect personal and sensitive data, and organizations can face financial lost because of this noncompliance with applied regulations. In this paper, we propose a solution to insert privacy policies written in XACML (eXtensible Access Control Markup Language) in access control solution to NoSQL database, our solution can be used for NoSQL data store which doesn't t include many access control features, it aims basically to ensure fine grained access control considering purpose as the main parameter, we will focus on access control in document level, and apply this approach to MongoDB which is the most used NoSQL data store.

URLhttps://dl.acm.org/citation.cfm?doid=3175628.3175646
DOI10.1145/3175628.3175646
Citation Keykacimi_xacml_2017