Quantity based aggregation for cadastral databases

التفاصيل البيبلوغرافية
العنوان: Quantity based aggregation for cadastral databases
المؤلفون: Patrick Capolsini, Firas Al Khalil, Alban Gabillon
المصدر: GeoPrivacy
بيانات النشر: ACM, 2014.
سنة النشر: 2014
مصطلحات موضوعية: Focus (computing), Database, Computer science, business.industry, Cadastre, Control (management), Inference, Subject (documents), Context (language use), Access control, computer.software_genre, Confidentiality, business, computer
الوصف: 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.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f038e1f6995c50fcba13478556d97d85
https://doi.org/10.1145/2675682.2676394
رقم الأكسشن: edsair.doi...........f038e1f6995c50fcba13478556d97d85
قاعدة البيانات: OpenAIRE