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Improving Data Security and Privacy for Ontology Based Data Access

  • Conference paper
  • First Online:
Information Systems Security and Privacy (ICISSP 2021, ICISSP 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1851))

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Abstract

Data integration is the process of combining data from multiple disparate source systems to provide users a unified view of data. Nevertheless, integrating and transforming data from various sources are significant challenges. Also, providing the semantics in data representation is an important issue to perform effective data analysis and visualization. In this context, ontology based approaches are used to provide an effective and flexible combination of data from multiple heterogeneous sources. Ontologies support more expressive representations and consistency for the data integration process. Ontology Based Data Access (OBDA) allows to map an ontology to a data source in order to query heterogeneous data more easier. Hence, data integration and data access are ensured with this mapping. As a result, large amounts of data can be stored more efficiently, more powerful queries can be written, and management of complex information systems can be performed more effectively. However, security of complex information systems should also be considered besides these advantages of OBDA. Ontology Based Access Control (OBAC) enables the enforcement of an access control mechanism through the utilization of Semantic Web technologies. Thus, only authorized entities can access and modify data. In this study, the OBAC and OBDA approaches are integrated. The proposed Semantic Web based solution’s goal is to ensure data security and preserve privacy while providing an efficient processing of data from different heterogeneous sources.

Supported by Ege University Scientific Research Projects Committee under the grant number 18-MUH-036.

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Acknowledgements

This study is supported by Ege University Scientific Research Projects Committee under the grant number 18-MUH-036.

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Authors and Affiliations

  1. Department of Computer Engineering, Ege University, 35100, Bornova-Izmir, Turkey

    Ozgu Can & Murat Osman Unalir

Authors
  1. Ozgu Can
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  2. Murat Osman Unalir
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Correspondence to Ozgu Can .

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Editors and Affiliations

  1. Consiglio Nazionale delle Ricerche, Pisa, Italy

    Paolo Mori

  2. University of Luxembourg, Esch-sur-Alzette, Luxembourg

    Gabriele Lenzini

  3. University of Nottingham, Nottingham, UK

    Steven Furnell

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Can, O., Unalir, M.O. (2023). Improving Data Security and Privacy for Ontology Based Data Access. In: Mori, P., Lenzini, G., Furnell, S. (eds) Information Systems Security and Privacy. ICISSP ICISSP 2021 2022. Communications in Computer and Information Science, vol 1851. Springer, Cham. https://doi.org/10.1007/978-3-031-37807-2_4

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  • DOI: https://doi.org/10.1007/978-3-031-37807-2_4

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