A Survey on Interdependent Privacy

Mathias Humbert (1) , Benjamin Trubert (2) , Kévin Huguenin (2)

1 armasuisse
2 HEC Lausanne - Faculté des Hautes Etudes Commerciales (HEC Lausanne)

The privacy of individuals does not only depend on their own actions and data but may also be affected by the privacy decisions and by the data shared by others individuals. This interdependence is an essential aspect of privacy and ignoring it can lead to serious privacy violations. In this survey, we summarize and analyze research on interdependent privacy risks and on the associated (cooperative and non-cooperative) solutions. We also demonstrate that interdependent privacy has been studied in isolation in different research communities. By doing so, we systematize knowledge on interdependent privacy research and provide insights on how this research should be conducted and which challenges it should address.

Mots clés: User studies; Game theory; Interdependent privacy; Statistical learning

Domaines: Réseaux et télécommunications [cs.NI]; Cryptographie et sécurité [cs.CR]; Ordinateur et société [cs.CY]; Informatique et théorie des jeux [cs.GT]; Interface homme-machine [cs.HC]; Base de données [cs.DB]; Informatique ubiquitaire

Mathias Humbert, Benjamin Trubert, Kévin Huguenin. A Survey on Interdependent Privacy. ACM Computing Surveys, 2020, 52 (6), pp.122:1-122:35. ⟨10.1145/3360498⟩. ⟨hal-02044853⟩