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<title>Governance, Risk and Compliance Technology Centre - Journal Articles</title>
<link href="http://hdl.handle.net/10468/3841" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/10468/3841</id>
<updated>2017-10-30T17:41:17Z</updated>
<dc:date>2017-10-30T17:41:17Z</dc:date>
<entry>
<title>A comprehensive view on quantity based aggregation for cadastral databases</title>
<link href="http://hdl.handle.net/10468/3838" rel="alternate"/>
<author>
<name>Al Khalil, Firas</name>
</author>
<author>
<name>Gabillon, Alban</name>
</author>
<author>
<name>Capolsini, Patrick</name>
</author>
<id>http://hdl.handle.net/10468/3838</id>
<updated>2017-03-28T11:01:45Z</updated>
<published>2017-03-01T00:00:00Z</published>
<summary type="TEXT">A comprehensive view on quantity based aggregation for cadastral databases
Al Khalil, Firas; Gabillon, Alban; Capolsini, Patrick
Quantity Based Aggregation (QBA) control is a subject that is closely related to inference control in databases. The goal is to enforce k out of n disclosure control. In this paper we work on QBA problems in the context of cadastral databases: how to prevent a user from knowing 1) the owners of all parcels in a region, and 2) all parcels belonging to the same owner. This work combines and extends our previous work on the subject [1, 2, 3]. We overview the legislative context surrounding cadastral databases. We give important definitions related to the QBA concept. We present a complete model for QBA control in cadastral databases. We show how to implement the security policy efficiently, and we present our prototype of secure cadastral databases with some performance evaluations.
</summary>
<dc:date>2017-03-01T00:00:00Z</dc:date>
</entry>
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