| Title | Knowledge Based Access Control a Model for Security and Privacy in the Big Data |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | El Haourani, Lamia, Elkalam, Anas Abou, Ouahman, Abdelah Ait |
| Conference Name | Proceedings of the 3rd International Conference on Smart City Applications |
| Publisher | ACM |
| ISBN Number | 978-1-4503-6562-8 |
| Keywords | access control model, Big Data, big data privacy, KBAC, privacy, pubcrawl, security |
| Abstract | The most popular features of Big Data revolve around the so-called "3V" criterion: Volume, Variety and Velocity. Big Data is based on the massive collection and in-depth analysis of personal data, with a view to profiling, or even marketing and commercialization, thus violating citizens' privacy and the security of their data. In this article we discuss security and privacy solutions in the context of Big Data. We then focus on access control and present our new model called Knowledge-based Access Control (KBAC); this strengthens the access control already deployed in the target company (e.g., based on "RBAC" role or "ABAC" attributes for example) by adding a semantic access control layer. KBAC offers thinner access control, tailored to Big Data, with effective protection against intrusion attempts and unauthorized data inferences. |
| DOI | 10.1145/3286606.3286793 |
| Citation Key | el_haourani_knowledge_2018 |
Knowledge Based Access Control a Model for Security and Privacy in the Big Data