AMORES L1.2 - A Privacy Risk Assessment Methodology for Location-Based Systems

Jesús Friginal (1) , Jérémie Guiochet (1) , Marc-Olivier Killijian (1)

1 LAAS-TSF - Équipe Tolérance aux fautes et Sûreté de Fonctionnement informatique

The proposed process is based on classical risk assessment process as defined in the risk manage ment process. We adapt the different steps to the domain of geo-privacy, and we propose a meta-model of concepts used for this study. This meta-model has been successfully used to compute privacy risk and its relation with attack trees. The feasibility of each step of our methodology is illustrated through the case study of dynamic carpooling of the AMORES project (see report L.1.1.a).

Domaines: Informatique [cs]

Jesús Friginal, Jérémie Guiochet, Marc-Olivier Killijian. AMORES L1.2 - A Privacy Risk Assessment Methodology for Location-Based Systems. [Research Report] AMORES1.2/1.0 ; Rapport LAAS n° 16048, LAAS-CNRS. 2014. ⟨hal-01282191⟩