Access to this article is restricted until 24 months after publication by request of the publisher.. Restriction lift date: 2019-03-01
A comprehensive view on quantity based aggregation for cadastral databases
| dc.check.date | 2019-03-01 | |
| dc.check.info | Access to this article is restricted until 24 months after publication by request of the publisher. | en |
| dc.contributor.author | Al Khalil, Firas | |
| dc.contributor.author | Gabillon, Alban | |
| dc.contributor.author | Capolsini, Patrick | |
| dc.date.accessioned | 2017-03-28T08:43:42Z | |
| dc.date.available | 2017-03-28T08:43:42Z | |
| dc.date.issued | 2017-03-01 | |
| dc.description.abstract | 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. | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Accepted Version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Al Khalil, F., Gabillon, A. and Capolsini, P. (2017) ‘A comprehensive view on quantity based aggregation for cadastral databases’, Journal of Information Security and Applications, 34(2), pp. 92-107. doi: 10.1016/j.jisa.2016.11.007 | en |
| dc.identifier.doi | 10.1016/j.jisa.2016.11.007 | |
| dc.identifier.endpage | 107 | |
| dc.identifier.issn | 2214-2126 | |
| dc.identifier.issued | 2 | |
| dc.identifier.journaltitle | Journal of Information Security and Applications | en |
| dc.identifier.startpage | 92 | |
| dc.identifier.uri | https://hdl.handle.net/10468/3838 | |
| dc.identifier.volume | 34 | |
| dc.language.iso | en | en |
| dc.publisher | Elsevier Ltd | en |
| dc.rights | © 2016, Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.subject | Security | en |
| dc.subject | Database | en |
| dc.subject | Access control | en |
| dc.subject | Inference | en |
| dc.subject | Aggregation | en |
| dc.title | A comprehensive view on quantity based aggregation for cadastral databases | en |
| dc.type | Article (peer-reviewed) | en |
