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Data minimisation: A language-based approach

Conference paper
Authors Thibaud Antignac
David Sands
Gerardo Schneider
Published in IFIP Information Security & Privacy Conference (IFIP SEC'17), volume 502 of IFIP Advances in Information and Communication Technology. pages 442-456
ISBN 978-3-319-58468-3
ISSN 1868-4238
Publisher Springer Science and Business Media
Publication year 2017
Published at Department of Computer Science and Engineering, Computing Science (GU)
Language en
Subject categories Computer Science

Abstract

Data minimisation is a privacy-enhancing principle considered as one of the pillars of personal data regulations. This principle dictates that personal data collected should be no more than necessary for the specific purpose consented by the user. In this paper we study data minimisation from a programming language perspective. We define a data minimiser as a pre-processor for the input which reduces the amount of information available to the program without compromising its functionality. We give its formal definition and provide a procedure to synthesise a correct data minimiser for a given program.

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