Differential Privacy on Spatio-Temporal Data

DOI

10.2991/iccia-17.2017.83How to use a DOI?

Keywords

spatio-temporal; differential privacy; score coefficient; sensitivity; prefix tree.

Abstract

In this paper, we consider the location and time factor together, and we give different location and time to add the corresponding score coefficient to distinguish between the sensitivity of location and time. We will be under strict differential privacy model study of spatio-temporal data. We propose an efficient data processing method, based on the hybrid granularity prefix tree structure. At the same time, several novel differential privacy budget allocation schemes are proposed.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yi Li
AU  - Bo Ning
AU  - Mei Bai
AU  - Yawen Zheng
AU  - Yu Wang
PY  - 2016/07
DA  - 2016/07
TI  - Differential Privacy on Spatio-Temporal Data
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 491
EP  - 495
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.83
DO  - 10.2991/iccia-17.2017.83
ID  - Li2016/07
ER  -