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Privacy Risk Analysis to Enable Informed Privacy Settings

Daniel Le Métayer 1, 2 Sourya Joyee De 3
2 PRIVATICS - Privacy Models, Architectures and Tools for the Information Society
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
3 PESTO - Proof techniques for security protocols
Inria Nancy - Grand Est, LORIA - FM - Department of Formal Methods
Abstract : The work described in this paper is a contribution to enhancing individual control over personal data which is promoted, inter alia, by the new EU General Data Protection Regulation. We propose a method to enable better informed choices of privacy preferences or privacy settings. The method relies on a privacy risk analysis framework parameterized with privacy settings. The user can express his choices, visualize their impact on the privacy risks through a user-friendly interface, and decide to revise them as necessary to reduce risks to an acceptable level.
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Submitted on : Saturday, December 9, 2017 - 7:25:43 PM
Last modification on : Saturday, October 16, 2021 - 11:26:10 AM


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  • HAL Id : hal-01660045, version 1


Daniel Le Métayer, Sourya Joyee De. Privacy Risk Analysis to Enable Informed Privacy Settings. [Research Report] RR-9125, Inria - Research Centre Grenoble – Rhône-Alpes. 2017, pp.1-24. ⟨hal-01660045⟩



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