Towards 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

Mobiquitous systems are gaining more and more weight in our daily lives. They are becoming a reality from our home and work to our leisure. The use of Location-Based Services (LBS) in these systems is increasingly demanded by users. Yet, while on one hand they enable people to be more " connected " , on the other hand, they may expose people to serious privacy issues. The design and deployment of Privacy-Enhancing Technologies (PETs) for LBS has been widely addressed in the last years. However, strikingly, there is still a lack of methodologies to assess the risk that using LBS may have on users' privacy (even when PETs are considered). This paper presents the first steps towards a privacy risk assessment methodology to (i) identify (ii) analyse, and (iii) evaluate the potential privacy issues affecting mobiquitous systems.

Mots clés: privacy; risk assessment; location-based systems

Domaines: Informatique [cs]

Jesús Friginal, Jérémie Guiochet, Marc-Olivier Killijian. Towards a Privacy Risk Assessment Methodology for Location-Based Systems. 10th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS), Dec 2013, Tokyo, Japan. pp.748-753, ⟨10.1007/978-3-319-11569-6_65⟩. ⟨hal-01281790⟩