Joining relations in the belief-consistent multilevel secure relational model
ACM-SE 36 Proceedings of the 36th annual Southeast regional conference
The multilevel relational (MLR) data model
ACM Transactions on Information and System Security (TISSEC)
Maintaining security and timeliness in real-time database system
Journal of Systems and Software
A MAC Policy Framework for Multilevel Relational Databases
IEEE Transactions on Knowledge and Data Engineering
International Journal of Electronic Commerce
Toward MLS database system with write downs
ACACOS'10 Proceedings of the 9th WSEAS international conference on Applied computer and applied computational science
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Abstract: We define the multilevel relational (MLR) data model for multilevel relations with element-level labeling. This model builds upon prior work of numerous authors in this area, and integrates ideas from a number of sources. A new data-based semantics is given to the MLR data model which combines ideas from SeaView, belief-based semantics and LDV model, and has the advantages of both eliminating ambiguity and retaining upward information flow. The resulting model is simple, unambiguous and powerful. It has five integrity properties and five operation statements for manipulating multilevel relations. In order to support this integration, we introduce several new concepts as well as redefine several old ones. The expressive power of the MLR model is also discussed in this paper, and is compared with several other models. We also address some issues in converting the MLR model to tuple-level labeling, including both scheme mapping and operation interpretation.