Privacy Level Agreements for Public Administration Information Systems

Vasiliki Diamantopoulou, Michail Pavlidis, Haralambos Mouratidis

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Improving Public Administration (PA) operations and services is a major focus globally; they should be transparent, accountable and provide services that improve citizens' confidence and trust. In this context, it is important that PAs have the ability to define agreements between citizens and PAs and that such agreements can be used in the context of PAs Information Systems to specify citizens' privacy needs, provide feedback on data sharing and enable PA departments to analyse privacy threats and vulnerabilities, compliance with laws and regulations and analyse trust relationships. We propose the use of the concept of Privacy Level Agreement (PLA) to address the aforementioned issues. The PLA is formally specified, based on an XML schema, which enables its automated use.
Original languageEnglish
Title of host publication29th International Conference on Advanced Information Systems Engineering (CAiSE) 2017 Forum
Place of PublicationEssen, Germany
PublisherCEUR LNCS
Pages97-104
Number of pages8
Publication statusPublished - 12 Jun 2017
Event29th International Conference on Advanced Information Systems Engineering (CAiSE) 2017 Forum - Essen, Germany, June 12-16, 2017
Duration: 12 Jun 2017 → …

Publication series

NameCEUR Workshop Proceedings

Conference

Conference29th International Conference on Advanced Information Systems Engineering (CAiSE) 2017 Forum
Period12/06/17 → …

Bibliographical note

© 2017 for this paper by its authors. Copying permitted for private and academic purposes.

Keywords

  • Privacy Level Agreement
  • Privacy Management
  • Citizen
  • Public Administration

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  • Cite this

    Diamantopoulou, V., Pavlidis, M., & Mouratidis, H. (2017). Privacy Level Agreements for Public Administration Information Systems. In 29th International Conference on Advanced Information Systems Engineering (CAiSE) 2017 Forum (pp. 97-104). (CEUR Workshop Proceedings). CEUR LNCS. http://ceur-ws.org/Vol-1848/CAiSE2017_Forum_Paper13.pdf