This paper is about MAPaS - modelling and analysis of privacy-aware systems - framework, which targets the development of privacy aware SQL queries operating on a given database. MAPaS supports the specification of purpose and role-based access control policies that regulate the access to data based on purpose compliance, role and purpose-based authorisations. The current version of MAPaS allows the definition of the scheme of the database whose data must be protected and the SQL queries that should be executed on such a database. A rich analysis toolkit allows user to assess the compliance of these queries with the specified privacy policies. The analysis can be done even before the database is populated. The use of MAPaS bring users to define SQL queries which are privacy aware by design.

A Framework for Privacy aware Data Management in Relational Databases

COLOMBO, PIETRO;FERRARI, ELENA
2014-01-01

Abstract

This paper is about MAPaS - modelling and analysis of privacy-aware systems - framework, which targets the development of privacy aware SQL queries operating on a given database. MAPaS supports the specification of purpose and role-based access control policies that regulate the access to data based on purpose compliance, role and purpose-based authorisations. The current version of MAPaS allows the definition of the scheme of the database whose data must be protected and the SQL queries that should be executed on such a database. A rich analysis toolkit allows user to assess the compliance of these queries with the specified privacy policies. The analysis can be done even before the database is populated. The use of MAPaS bring users to define SQL queries which are privacy aware by design.
2014
http://www.inderscienceonline.com/doi/full/10.1504/IJIPSI.2014.062886
privacy aware data management; privacy policies; relational databases; model driven development; Object Constraint Language; OCL; Atlas Transformation Language; ATL
Colombo, Pietro; Ferrari, Elena
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2022473
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact