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» Privacy: preserving trajectory collection
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GIS
2008
ACM
14 years 5 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...
MDM
2007
Springer
122views Communications» more  MDM 2007»
13 years 11 months ago
Privacy-Preserving Data Mining on Moving Object Trajectories
Gyözö Gidófalvi, Xuegang Huang, T...
PERVASIVE
2008
Springer
13 years 4 months ago
AnonySense: Opportunistic and Privacy-Preserving Context Collection
Opportunistic sensing allows applications to "task" mobile devices to measure context in a target region. For example, one could leverage sensorequipped vehicles to measu...
Apu Kapadia, Nikos Triandopoulos, Cory Cornelius, ...
CIKM
2009
Springer
13 years 11 months ago
Walking in the crowd: anonymizing trajectory data for pattern analysis
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...
MDM
2007
Springer
106views Communications» more  MDM 2007»
13 years 11 months ago
Protecting Moving Trajectories with Dummies
Abstract—Dummy-based anonymization techniques for protecting location privacy of mobile users have been proposed in the literature. By generating dummies that move in humanlike t...
Tun-Hao You, Wen-Chih Peng, Wang-Chien Lee