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Quantity based aggregation for cadastral databases
| Content Provider | ACM Digital Library |
|---|---|
| Author | Gabillon, Alban Al Khalil, Firas Capolsini, Patrick |
| Abstract | Quantity Based Aggregation (QBA) is a subject that is closely related to inference 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, and we focus on one particular problem: how to prevent a user from accessing all parcels in a region. This work is a new version of the model presented in [2, 3] where we introduce the concept of "Dominant Zones". This concept increases the availability of the data while preserving their confidentiality. Moreover, we provide a more detailed discussion on security aspects of different choices of the model's parameters. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450331340 |
| DOI | 10.1145/2675682.2676394 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-11-04 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Access control Collusion Inference control Database Security |
| Content Type | Text |
| Resource Type | Article |
