DocumentCode
137519
Title
Privacy-Preserving Spatial Trajectory Prediction
Author
Wen-Chen Hu ; Kaabouch, Naima ; Mousavinezhad, S. Hossein ; Hung-Jen Yang
Author_Institution
Dept. of Comput. Sci., Univ. of North Dakota Grand Forks, Grand Forks, ND, USA
fYear
2014
fDate
15-16 May 2014
Firstpage
69
Lastpage
73
Abstract
One of the location-based services, spatial trajectory prediction, can be used in a variety of purposes such as travel recommendations and traffic control and planning, but at the same time, just like most location-based services, the concern of user privacy is a major issue. Without rigorous privacy protection, users would be reluctant to use the services. This research proposes a privacy-preserving method of predicting a spatial trajectory based on the current and previous trajectories by using a matrix representation. Preliminary experimental results show this method is effective and secure for spatial trajectory prediction.
Keywords
data privacy; information services; matrix algebra; location-based services; matrix representation; privacy protection; privacy-preserving spatial trajectory prediction; traffic control; traffic planning; travel recommendation; user privacy; Educational institutions; Mobile radio mobility management; Privacy; Servers; Three-dimensional displays; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Research Collaboration Symposium (NWRCS), 2014 National
Conference_Location
Idaho Falls, ID
Type
conf
DOI
10.1109/NWRCS.2014.17
Filename
6942506
Link To Document