Context-aware analysis of Data Sharing Agreements

Maurizio Colombo, Fabio Martinelli, Ilaria Matteucci, Marinella Petrocchi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

A Data Sharing Agreement is an agreement among contracting parties regulating how they share data under certain contextual conditions. Upon the definition phase, where the parties negotiate the respective authorizations on data covered by the agreement, the resulting policy may be analysed in order to identify possible conflicts or incompatibilities among authorizations clauses. In this paper, we propose a formal framework for Data Sharing Agreement analysis. Our proposal is built on a process algebra formalism dealing with contextual data, encoded into the Maude engine to make it executable. The effectiveness of the analysis is shown through a sensitive data sharing test bed. Furthermore, we present an implementation of the analyser exposed as a Web Service built on top of Maude. The Web Service technology allows the modularity of the whole architecture with respect to the analysis tool.

Original languageBritish English
Title of host publicationProceedings - 3rd International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies and Services, CENTRIC 2010
Pages99-104
Number of pages6
DOIs
StatePublished - 2010
Event3rd International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies and Services, CENTRIC 2010 - Nice, France
Duration: 22 Aug 201027 Aug 2010

Publication series

NameProceedings - 3rd International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies and Services, CENTRIC 2010

Conference

Conference3rd International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies and Services, CENTRIC 2010
Country/TerritoryFrance
CityNice
Period22/08/1027/08/10

Keywords

  • Context-aware data protection
  • Data Sharing Agreements
  • Formal analysis
  • Web service implementation

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