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Privacy Risk Analysis to Enable Informed Privacy Settings

Sourya Joyee De 1 Daniel Le Métayer 2
1 PESTO - Proof techniques for security protocols
Inria Nancy - Grand Est, LORIA - FM - Department of Formal Methods
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
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 settings. The method relies on a privacy risk analysis parameterized by privacy settings. The user can express his choices, visualize their impact on the privacy risks through a user-friendly interface and, if needed, decide to revise them to reduce risks to an acceptable level.
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Contributor : Daniel Le Métayer <>
Submitted on : Thursday, November 29, 2018 - 6:36:04 PM
Last modification on : Wednesday, November 20, 2019 - 7:31:10 AM


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  • HAL Id : hal-01939845, version 1


Sourya Joyee De, Daniel Le Métayer. Privacy Risk Analysis to Enable Informed Privacy Settings. IWPE 2018 – 4th IEEE International Workshop on Privacy Engineering, Apr 2018, London, United Kingdom. pp.1-8. ⟨hal-01939845⟩



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