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Protecting Personal Data with Various Granularities: A Logic-Based Access Control Approach

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Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3802))

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Abstract

In this paper, we present a rule-based approach to fine-grained data-dependent access control for database systems. Authorization rules in this framework are described in a logical language that allows us to specify policies systematically and easily. The language expresses authorization rules based on the values, types, and semantics of data elements common to the relational data model. We demonstrate the applicability of our approach by describing several data-dependent policies using an example drawn from a medical information system.

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© 2005 Springer-Verlag Berlin Heidelberg

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Purevjii, BO., Aritsugi, M., Imai, S., Kanamori, Y., Pancake, C.M. (2005). Protecting Personal Data with Various Granularities: A Logic-Based Access Control Approach. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_81

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  • DOI: https://doi.org/10.1007/11596981_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30819-5

  • Online ISBN: 978-3-540-31598-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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