2011 | OriginalPaper | Buchkapitel
Enforcing Confidentiality and Data Visibility Constraints: An OBDD Approach
verfasst von : Valentina Ciriani, Sabrina De Capitani di Vimercati, Sara Foresti, Giovanni Livraga, Pierangela Samarati
Erschienen in: Data and Applications Security and Privacy XXV
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The problem of enabling privacy-preserving data releases has become more and more important in the last years thanks to the increasing needs of sharing and disseminating information. In this paper we address the problem of computing data releases in the form of
fragments
(vertical views) over a relational table, which satisfy both confidentiality and visibility constraints, expressing needs for information protection and release, respectively. We propose a modeling of constraints and of the data fragmentation problem based on Boolean formulas and Ordered Binary Decision Diagrams (OBDDs). Exploiting OBDDs, we efficiently manipulate Boolean formulas, thus easily computing data fragments that satisfy the constraints.