Abstract
Multilevel secure (MLS) database models provide a data protection mechanism different from traditional data access control. The MLS database has been used in various application domains including government, hospital, military, etc. The MLS database model protects data by grouping them into different classification and creates different views to the users of different clearance levels. Previous models have focused on data level classification like tuples and elements. In this study, we introduce a schema level classification mechanism, i.e. attribute and relation classification. We first define the basic model, and then give definitions of integration properties and operations of database. The schema classification scheme will reduce semantics inferences and thus prevent users from compromising the database.
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Su, TA., Lu, HJ. (2010). A Schema Classification Scheme for Multilevel Databases. In: Sobh, T., Elleithy, K. (eds) Innovations in Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9112-3_72
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DOI: https://doi.org/10.1007/978-90-481-9112-3_72
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