@article{ART002908037},
author={Seung Min Song and Jong Wook Kim},
title={Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={12},
pages={161-169},
doi={10.9708/jksci.2022.27.12.161}

TY - JOUR
AU - Seung Min Song
AU - Jong Wook Kim
TI - Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 12
PB - The Korean Society Of Computer And Information
SP - 161
EP - 169
SN - 1598-849X
AB - With the development of mobile devices and global positioning systems, various location-based services can be utilized, which collects user's location information and provides services based on it. In this process, there is a risk of personal sensitive information being exposed to the outside, and thus Geo-indistinguishability (Geo-Ind), which protect location privacy of LBS users by perturbing their true location, is widely used. However, owing to the data perturbation mechanism of Geo-Ind, it is hard to accurately obtain the density distribution of LBS users from the collection of perturbed location data. Thus, in this paper, we aim to develop a novel method which enables to effectively compute the user density distribution from perturbed location dataset collected under Geo-Ind. In particular, the proposed method leverages Expectation-Maximization(EM) algorithm to precisely estimate the density disribution of LBS users from perturbed location dataset. Experimental results on real world datasets show that our proposed method achieves significantly better performance than a baseline approach.
KW - Location-based services;Location data;Data Privacy;Geo-indistinguishability
DO - 10.9708/jksci.2022.27.12.161
ER -

Seung Min Song and Jong Wook Kim. (2022). Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability. Journal of The Korea Society of Computer and Information, 27(12), 161-169.

Seung Min Song and Jong Wook Kim. 2022, "Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability", Journal of The Korea Society of Computer and Information, vol.27, no.12 pp.161-169. Available from: doi:10.9708/jksci.2022.27.12.161

Seung Min Song, Jong Wook Kim "Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability" Journal of The Korea Society of Computer and Information 27.12 pp.161-169 (2022) : 161.

Seung Min Song, Jong Wook Kim. Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability. 2022; 27(12), 161-169. Available from: doi:10.9708/jksci.2022.27.12.161

Seung Min Song and Jong Wook Kim. "Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability" Journal of The Korea Society of Computer and Information 27, no.12 (2022) : 161-169.doi: 10.9708/jksci.2022.27.12.161

Seung Min Song; Jong Wook Kim. Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability. Journal of The Korea Society of Computer and Information, 27(12), 161-169. doi: 10.9708/jksci.2022.27.12.161

Seung Min Song; Jong Wook Kim. Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability. Journal of The Korea Society of Computer and Information. 2022; 27(12) 161-169. doi: 10.9708/jksci.2022.27.12.161

Seung Min Song, Jong Wook Kim. Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability. 2022; 27(12), 161-169. Available from: doi:10.9708/jksci.2022.27.12.161

Seung Min Song and Jong Wook Kim. "Privacy-Preserving Estimation of Users‘ Density Distribution in Location-based Services through Geo-indistinguishability" Journal of The Korea Society of Computer and Information 27, no.12 (2022) : 161-169.doi: 10.9708/jksci.2022.27.12.161