Implementing Quantity Based Aggregation Control for Cadastral Databases

The quantity based aggregation (QBA) problem is closely related to the classical inference problem found in databases, and usually discussed with it. In [1], [2] we proposed a model to enforce QBA in a cadastral database. The main purpose of this paper is to 1) describe implementation details of the algorithm, 2) present the algorithm´s benchmark results, and 3) provide a discussion about the trade-off between confidentiality and availability, and 4) describe a prototype developed for QBA enforcement in a cadastral database.