Data Minimisation: A Language-Based Approach

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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Communication dans un congrès
Sabrina De Capitani di Vimercati; Fabio Martinelli. 32th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), May 2017, Rome, Italy. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-502, pp.442-456, 2017, ICT Systems Security and Privacy Protection. 〈10.1007/978-3-319-58469-0_30〉
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Thibaud Antignac, David Sands, Gerardo Schneider. Data Minimisation: A Language-Based Approach. Sabrina De Capitani di Vimercati; Fabio Martinelli. 32th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), May 2017, Rome, Italy. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-502, pp.442-456, 2017, ICT Systems Security and Privacy Protection. 〈10.1007/978-3-319-58469-0_30〉. 〈hal-01648986〉

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