Meeting points in ridesharing: A privacy-preserving approach
Autor: | Sébastien Gambs, Ulrich Aïvodji, Marie-José Huguet, Marc-Olivier Killijian |
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Přispěvatelé: | Équipe Tolérance aux fautes et Sûreté de Fonctionnement informatique (LAAS-TSF), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes (LAAS-ROC), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT) |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Secure Multiparty Computation
Engineering Service (systems architecture) Multimodal Shortest Path Control (management) Internet privacy Transportation Private Set Intersection 010501 environmental sciences Computer security computer.software_genre Privacy Enhancing Technologies 01 natural sciences [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR] 11. Sustainability 0502 economics and business 0105 earth and related environmental sciences Civil and Structural Engineering 050210 logistics & transportation business.industry Dynamic Ridesharing 05 social sciences Usability [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Flow network Computer Science Applications Information and Communications Technology Automotive Engineering Shortest path problem Secure multi-party computation Privacy-enhancing technologies business computer |
Zdroj: | Transportation research. Part C, Emerging technologies Transportation research. Part C, Emerging technologies, Elsevier, 2016, 72, pp.239-253. ⟨10.1016/j.trc.2016.09.017⟩ Transportation research. Part C, Emerging technologies, 2016, 72, pp.239-253. ⟨10.1016/j.trc.2016.09.017⟩ |
ISSN: | 0968-090X 1879-2359 |
Popis: | International audience; Nowadays, problems of congestion in urban areas due to the massive usage of cars, last-minute travel needs and progress in information and communication technologies have fostered the rise of new transportation modes such as ridesharing. In a ridesharing service, a car owner shares empty seats of his car with other travelers. Recent ridesharing approaches help to identify interesting meeting points to improve the efficiency of the ridesharing service (i.e., the best pickup and drop-off points so that the travel cost is competitive for both driver and rider). In particular, ridesharing services, such as Blablacar or Carma, have become a good mobility alternative for users in their daily life. However, this success has come at the cost of user privacy. Indeed in current's ridesharing services, users are not in control of their own data and have to trust the ridesharing operators with the management of their data. In this paper, we aim at developing a privacy-preserving service to compute meeting points in ridesharing, such that each user remains in control of his location data. More precisely, we propose a decentralized architecture that provides strong security and privacy guarantees without sacrificing the usability of ridesharing services. In particular, our approach protects the privacy of location data of users. Following the privacy-by-design principle, we have integrated existing privacy enhancing technologies and multimodal shortest path algorithms to privately compute mutually interesting meeting points for both drivers and riders in ridesharing. In addition, we have built a prototype implementation of the proposed approach. The experiments, conducted on a real transportation network, have demonstrated that it is possible to reach a trade-off in which both the privacy and utility levels are satisfactory. |
Databáze: | OpenAIRE |
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