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- W2484888051 abstract "This dissertation provides the theoretical basis of a generalized query modification technique for secure query processing in relational databases. The generalized query modification technique developed in this dissertation accepts a user query that is beyond the user's access privileges, and then generates a finite set of legal queries (called the complete containment set) that will provide all and only legal answers for the user query. In particular, this dissertation presents the theory and construction algorithms of complete containment sets for the class of conjunctive queries including inequalities. Unlike heuristic-based work on query modification, this dissertation emphasizes completeness so that all legal answers are provided to users.A formal problem, called the complete containment set problem, is defined and solved for the class of queries containing monotonic relational operators: equality selection, inequality selection, Cartesian product (e.g. joins), and projection. The formal problem is an abstraction for modeling completeness based on query containment. Under this abstraction, a canonical derivation and theory behind it are derived from known results on query containment. The canonical derivation is then transformed into a construction algorithm for finding the complete containment set for the class of equality conjunctive queries. It is shown that the complete containment set for this class is finite and unique. For the class of conjunctive queries including inequalities, a theorem for testing query containment is developed first. The theorem is then used as a basis for extending the above results on the complete containment set to include inequalities.The major contribution of the complete containment set approach for secure query processing developed in this dissertation is the ability to express query modification completely in a formal problem, relate it to known results on query containment, and present algorithms for substantial subclasses. A significant capability of the approach over other heuristic techniques is the ability to test for inference problems based on the canonical derivation." @default.
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- W2484888051 date "1992-01-01" @default.
- W2484888051 modified "2023-09-25" @default.
- W2484888051 title "Query containment theory and its relevance to secure query processing" @default.
- W2484888051 hasPublicationYear "1992" @default.
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