Enabling Users to Balance Social Benefit and Privacy in Online Social Networks

Sourya Joyee De 1 Abdessamad Imine 1
1 PESTO - Proof techniques for security protocols
Inria Nancy - Grand Est, LORIA - FM - Department of Formal Methods
Abstract : Attributes such as interests, workplace and relationship status in an Online Social Network (OSN) profile introduce a user to other OSN users. They can contribute to building new friendships as well as reviving and enhancing existing ones. However, the personal data revealed by the user himself or by his vicinity, i.e., his OSN friends, can also make him vulnerable to many privacy harms such as identity theft, stalking or sexual predation. So users have to carefully select the privacy settings for their profile attributes by keeping in mind the trade-off between privacy and social benefit. In this paper, we propose a user-centric two-phase approach, based on Integer Programming, to aid in this decision process. Our model assists the user to understand which privacy harms he can avoid, after tolerating residual risks, given his desired social benefit requirements and suggests the privacy settings he should adopt to achieve the maximum social benefit. Thus, users’ choices are based on both privacy risks and benefits, a view supported by the EU General Data Protection Regulation (GDPR).We have tested our approach on user profiles with varying vicinities and social benefit requirements.
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Conference papers
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Contributor : Abdessamad Imine <>
Submitted on : Thursday, November 29, 2018 - 8:42:34 AM
Last modification on : Tuesday, December 18, 2018 - 4:38:25 PM


  • HAL Id : hal-01938881, version 1



Sourya Joyee De, Abdessamad Imine. Enabling Users to Balance Social Benefit and Privacy in Online Social Networks. PST 2018 - The Sixteen International Conference on Privacy, Security and Trust, Aug 2018, Belfast, United Kingdom. pp.1--10. ⟨hal-01938881⟩



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