Privacy-preserving carpooling

Ulrich Matchi Aïvodji (1, 2, 3) , Sébastien Gambs (4) , Marie-José Huguet (2, 5) , Marc-Olivier Killijian (3)

1 UT3 - Université Toulouse III - Paul Sabatier
2 LAAS-ROC - Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes
3 LAAS-TSF - Équipe Tolérance aux fautes et Sûreté de Fonctionnement informatique
4 CIDRE - Confidentialité, Intégrité, Disponibilité et Répartition
5 INSA Toulouse - Institut National des Sciences Appliquées - Toulouse

Mobility has always been an important aspect of human activities. Nowadays problems of congestion in urban areas due to the massive usage of cars, last-minutes travel needs and progress in information and communication technologies encourage the rise of new transport modes. Among those are carpooling services, which let car owners share the empty seats of their cars with other travellers having the same travel destination. However, the way carpooling services are implemented today raises several privacy issues. In this paper we use privacy enhancing technologies to improve the quality of carpooling services by specially taking in consideration privacy aspects.

Mots clés: Secure multi-party computation; Privacy enhancing technologies; Carpooling; Multi-modal routing; Distributed algorithms

Domaines: Calcul parallèle, distribué et partagé [cs.DC]; Recherche opérationnelle [math.OC]; Cryptographie et sécurité [cs.CR]; Informatique ubiquitaire

Ulrich Matchi Aïvodji, Sébastien Gambs, Marie-José Huguet, Marc-Olivier Killijian. Privacy-preserving carpooling. Odysseus 2015 - 6th International Workshop on Freight Transportation and Logistics, May 2015, Ajaccio, France. ⟨hal-01146639⟩