Êtes-vous un étudiant de l'EPFL à la recherche d'un projet de semestre?
Travaillez avec nous sur des projets en science des données et en visualisation, et déployez votre projet sous forme d'application sur Graph Search.
As privacy moves to the center of attention in networked systems, and the need for trust remains a necessity, an important question arises: How do we reconcile the two seemingly contradicting requirements? In this paper, we show that the notion of data-centric trust can considerably alleviate the tension, although at the cost of pooling contributions from several entities. Hence, assuming an environment of privacy-preserving entities, we provide and analyze a game-theoretic model of the trust-privacy tradeoff. The results prove that the use of incentives allows for building trust while keeping the privacy loss minimal. To illustrate our analysis, we describe how the trust-privacy tradeoff can be optimized for the revocation of misbehaving nodes in an ad hoc network.
Jean-Pierre Hubaux, Murtuza Jadliwala, Julien Freudiger, Valtteri Niemi