Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Differential Privacy on Spatio-Temporal Data

Authors
Yi Li, Bo Ning, Mei Bai, Yawen Zheng, Yu Wang
Corresponding Author
Yi Li
Available Online July 2016.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.83How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.83
DO  - https://doi.org/10.2991/iccia-17.2017.83
ID  - Li2016/07
ER  -