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A privacy-aware conceptual model for handling personal data

Thibaud Antignac (Institutionen för data- och informationsteknik, Programvaruteknik (Chalmers)) ; Riccardo Scandariato (Institutionen för data- och informationsteknik, Software Engineering (Chalmers)) ; Gerardo Schneider
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2016; Imperial, Corfu; Greece; 10 October 2016 through 14 October 2016 (03029743). Vol. 9952 LNCS (2016), p. 942-957.
[Konferensbidrag, refereegranskat]

Handling personal data adequately is one of the biggest challenges of our era. Consequently, law and regulations are in the process of being released, like the European General Data Protection Regulation (GDPR), which attempt to deal with these challenging issue early on. The core question motivating this work is how software developers can validate their technical design vis-a-vis the prescriptions of the privacy legislation. In this paper, we outline the technical concepts related to privacy that need to be taken into consideration in a software design. Second, we extend a popular design notation in order to support the privacy concepts illustrated in the previous point. Third, we show how some of the prescriptions of the privacy legislation and standards may be related to a technical design that employs our enriched notation, which would facilitate reasoning about compliance.

Nyckelord: Conceptual model, Data flow diagrams, Privacy



Denna post skapades 2016-12-19. Senast ändrad 2017-06-27.
CPL Pubid: 246236

 

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Institutioner (Chalmers)

Institutionen för data- och informationsteknik, Programvaruteknik (Chalmers)
Institutionen för data- och informationsteknik, Software Engineering (Chalmers)
Institutionen för data- och informationsteknik (GU) (GU)

Ämnesområden

Data- och informationsvetenskap

Chalmers infrastruktur