TY - GEN
T1 - Preserving privacy for moving objects data mining
AU - Ho, Shen Shyang
PY - 2012
Y1 - 2012
N2 - The prevalence of mobile devices with geopositioning capability has resulted in the rapid growth in the amount of moving object trajectories. These data have been collected and analyzed for both commercial (e.g., recommendation system) and security (e.g. surveillance and monitoring system) purposes. One needs to ensure the privacy of these raw trajectory data and the derived knowledge by not disclosing or releasing them to adversary. In this paper, we propose a practical implementation of a (∈, δ)-differentially private mechanism for moving objects data mining; in particular, we apply it to the frequent location pattern mining algorithm. Experimental results on the real-world GeoLife dataset are used to compare the performance of the (∈, δ)-differential privacy mechanism with the standard ∈-differential privacy mechanism.
AB - The prevalence of mobile devices with geopositioning capability has resulted in the rapid growth in the amount of moving object trajectories. These data have been collected and analyzed for both commercial (e.g., recommendation system) and security (e.g. surveillance and monitoring system) purposes. One needs to ensure the privacy of these raw trajectory data and the derived knowledge by not disclosing or releasing them to adversary. In this paper, we propose a practical implementation of a (∈, δ)-differentially private mechanism for moving objects data mining; in particular, we apply it to the frequent location pattern mining algorithm. Experimental results on the real-world GeoLife dataset are used to compare the performance of the (∈, δ)-differential privacy mechanism with the standard ∈-differential privacy mechanism.
UR - http://www.scopus.com/inward/record.url?scp=84867364687&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867364687&partnerID=8YFLogxK
U2 - 10.1109/ISI.2012.6284198
DO - 10.1109/ISI.2012.6284198
M3 - Conference contribution
AN - SCOPUS:84867364687
SN - 9781467321037
T3 - ISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics: Cyberspace, Border, and Immigration Securities
SP - 135
EP - 137
BT - ISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics
T2 - 2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012
Y2 - 11 June 2012 through 14 June 2012
ER -