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Conference Papers Year : 2017

Data Minimisation: A Language-Based Approach


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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Dates and versions

hal-01648986 , version 1 (27-11-2017)





Thibaud Antignac, David Sands, Gerardo Schneider. Data Minimisation: A Language-Based Approach. 32th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), May 2017, Rome, Italy. pp.442-456, ⟨10.1007/978-3-319-58469-0_30⟩. ⟨hal-01648986⟩
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