TY - GEN
T1 - Catch me if you can
T2 - 3rd ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2019, held in conjunction with the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2019
AU - Di Luzio, Adriano
AU - Dikov, Georgi
AU - Viana, Aline Carneiro
AU - Palamidessi, Catuscia
AU - Chatzikokolakis, Konstantinos
AU - Stefa, Julinda
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/11/5
Y1 - 2019/11/5
N2 - This paper sheds light on the trade-offs between privacy and utility in mobility-based geographic datasets. We aim at finding out whether it is possible to protect the privacy of the users in a dataset while, at the same time, maintaining intact the utility of the information that it contains. In particular, we focus on geo-indistinguishability as a privacy-preserving sanitization methodology, and we evaluate its effects on the utility of the Geolife dataset. We test the sanitized dataset in two real world scenarios: 1. Deploying an infrastructure of WiFi hotspots to offload the mobile traffic of users living, working, or commuting in a wide geographic area; 2. Simulating the spreading of a gossip-based epidemic as the outcome of a device-to-device communication protocol. We show the extent to which the current geo-indistinguishability techniques trade privacy for utility in real world applications and we focus on their effects at the levels of the population as a whole and of single individuals.
AB - This paper sheds light on the trade-offs between privacy and utility in mobility-based geographic datasets. We aim at finding out whether it is possible to protect the privacy of the users in a dataset while, at the same time, maintaining intact the utility of the information that it contains. In particular, we focus on geo-indistinguishability as a privacy-preserving sanitization methodology, and we evaluate its effects on the utility of the Geolife dataset. We test the sanitized dataset in two real world scenarios: 1. Deploying an infrastructure of WiFi hotspots to offload the mobile traffic of users living, working, or commuting in a wide geographic area; 2. Simulating the spreading of a gossip-based epidemic as the outcome of a device-to-device communication protocol. We show the extent to which the current geo-indistinguishability techniques trade privacy for utility in real world applications and we focus on their effects at the levels of the population as a whole and of single individuals.
KW - Anonymity
KW - Geo-indistinguishability-privacy
KW - Location based systems
KW - Mobility
KW - Utility
U2 - 10.1145/3356994.3365498
DO - 10.1145/3356994.3365498
M3 - Conference contribution
AN - SCOPUS:85075749004
T3 - LocalRec 2019 - Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising
BT - LocalRec 2019 - Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising
A2 - Bouros, Panagiotis
A2 - Dasu, Tamraparni
A2 - Kanza, Yaron
A2 - Renz, Matthias
A2 - Sacharidis, Dimitris
PB - Association for Computing Machinery, Inc
Y2 - 5 November 2019
ER -