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GIS
2008
ACM
14 years 8 months ago
Privacy: preserving trajectory collection
In order to provide context?aware Location?Based Services, real location data of mobile users must be collected and analyzed by spatio?temporal data mining methods. However, the d...
Gyözö Gidófalvi, Torben Bach Pede...
SDMW
2009
Springer
14 years 8 days ago
Longitude: Centralized Privacy-Preserving Computation of Users' Proximity
A “friend finder” is a Location Based Service (LBS) that informs users about the presence of participants in a geographical area. In particular, one of the functionalities of ...
Sergio Mascetti, Claudio Bettini, Dario Freni
GIS
2008
ACM
13 years 8 months ago
Towards a scalable model for location privacy
With the growth of wireless and mobile technologies, we are witnessing an increase in location-based services (LBS). Although LBS provide enhanced functionalities, they open up ne...
Nayot Poolsappasit, Indrakshi Ray
INFOCOM
2012
IEEE
11 years 10 months ago
L2P2: Location-aware location privacy protection for location-based services
Abstract—Location privacy has been a serious concern for mobile users who use location-based services provided by the thirdparty provider via mobile networks. Recently, there hav...
Yu Wang 0003, Dingbang Xu, Xiao He, Chao Zhang, Fa...
GIS
2009
ACM
14 years 8 months ago
PROS: A Peer-to-Peer System for Location Privacy Protection on Road Networks
The k-anonymity technique is widely used to provide location privacy protection for accessing location-based services (LBS), i.e., the exact location of a query initiator is cloak...
Jie Bao 0003, Haiquan Chen, Wei-Shinn Ku