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Protecting Sensitive Data in Web of Data

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Advances in Model and Data Engineering in the Digitalization Era (MEDI 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1481))

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Abstract

Over the last few years, the web of data has been increased. It permitted sharing and an interconnection of a large data in several domains and it keeps increasing day by day. However, certain sectors such as health, economic, government, etc., have a limited participation, due to the confidential nature of data. In order to develop the web of data, taking in consideration the confidentiality and the utility of data, we propose in this paper a framework of confidentiality preservation and sharing of the linked data. Our approach provides the means to generate privacy policies that specify the sensitive data to be protected in an Resource Description Framework (RDF) triple. Subsequently the application of the policy on the graph will allow their replacement by their encryption, thus ensuring a balance between confidentiality and utility of data.

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Notes

  1. 1.

    https://jena.apache.org.

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Author information

Authors and Affiliations

  1. EEDIS Laboratory, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbès, Algeria

    Fethi Imad Benaribi & Kamel Mohamed Faraoun

  2. LabRI-SBA Laboratoy, Ecole Supérieure en Informatique de Sidi Bel-Abbes (ESI-SBA), Sidi Bel Abbès, Algeria

    Mimoun Malki

Authors
  1. Fethi Imad Benaribi
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  2. Mimoun Malki
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  3. Kamel Mohamed Faraoun
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Corresponding author

Correspondence to Fethi Imad Benaribi .

Editor information

Editors and Affiliations

  1. ISAE-ENSMA, Chasseneuil, France

    Ladjel Bellatreche

  2. Saint-Petersburg State University, Saint-Petersburg, Russia

    George Chernishev

  3. University of Almería, Almería, Spain

    Antonio Corral

  4. LINEACT CESI, Aix-en-Provence, France

    Samir Ouchani

  5. Tallinn University of Technology, Tallinn, Estonia

    Jüri Vain

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Benaribi, F.I., Malki, M., Faraoun, K.M. (2021). Protecting Sensitive Data in Web of Data. In: Bellatreche, L., Chernishev, G., Corral, A., Ouchani, S., Vain, J. (eds) Advances in Model and Data Engineering in the Digitalization Era. MEDI 2021. Communications in Computer and Information Science, vol 1481. Springer, Cham. https://doi.org/10.1007/978-3-030-87657-9_12

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  • DOI: https://doi.org/10.1007/978-3-030-87657-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87656-2

  • Online ISBN: 978-3-030-87657-9

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