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.
Type de document :
Communication dans un congrès
IWPE 2018 – 4th IEEE International Workshop on Privacy Engineering, Apr 2018, London, United Kingdom. pp.1-8, Proceedings of the 4th IEEE International Workshop on Privacy Engineering (IWPE 2018)
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https://hal.archives-ouvertes.fr/hal-01939845
Contributeur : Daniel Le Métayer <>
Soumis le : jeudi 29 novembre 2018 - 18:36:04
Dernière modification le : jeudi 7 février 2019 - 16:56:11

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IWPE2018.pdf
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  • HAL Id : hal-01939845, version 1

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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, Proceedings of the 4th IEEE International Workshop on Privacy Engineering (IWPE 2018). 〈hal-01939845〉

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