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The Proceedings of the Third International Conference on Smart City Applications

SCA 2018: Innovations in Smart Cities Applications Edition 2 pp 727–741Cite as

Knowledge Based Access Control a Model for Security and Privacy in the Big Data

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Abstract

The most popular features of Big Data revolve around the so-called “3 V” 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.

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Author information

Authors and Affiliations

  1. National School of Applied Sciences, Marrakesh, Morocco

    Lamia El Haourani, Anas Abou El Kalam & Abdelah Ait Ouahman

Authors
  1. Lamia El Haourani
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  2. Anas Abou El Kalam
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  3. Abdelah Ait Ouahman
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Corresponding author

Correspondence to Lamia El Haourani .

Editor information

Editors and Affiliations

  1. Association Méditerranéenne des Sciences et Technologies, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Association Méditerranéenne des Sciences et Technologies, Tangier, Morocco

    Anouar Abdelhakim Boudhir

  3. Faculty of Sciences, Présidence UAE, Tétouan, Morocco

    Ali Younes

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El Haourani, L., Abou El Kalam, A., Ait Ouahman, A. (2019). Knowledge Based Access Control a Model for Security and Privacy in the Big Data. In: Ben Ahmed, M., Boudhir, A., Younes, A. (eds) Innovations in Smart Cities Applications Edition 2. SCA 2018. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-11196-0_60

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