The impact of anonymization on the geosocial network metrics used in socio-economic analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50016714" target="_blank" >RIV/62690094:18450/20:50016714 - isvavai.cz</a>

Výsledek na webu

<a href="http://doi.org/10.36689/uhk/hed/2020-01-062" target="_blank" >http://doi.org/10.36689/uhk/hed/2020-01-062</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.36689/uhk/hed/2020-01-062" target="_blank" >10.36689/uhk/hed/2020-01-062</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The impact of anonymization on the geosocial network metrics used in socio-economic analysis

Popis výsledku v původním jazyce

The expansion of mobile devices equipped with GPS (Global Positioning System) locators corresponds to the development of the highly customized location-based services including geosocial networks. The usage of customized location-based services positively effects many aspects of users’ daily routines from travelling to choosing the best restaurant. On the other hand, providing customized services relates to collecting and storing large amount of users’ information and gives rise to many privacy-preserving issues. In this paper, we discuss the privacy concerns connected with publishing geosocial network datasets and the impact of the anonymization on the utility of the geosocial network dataset. Considering the importance of the geosocial network for the socioeconomic analysis, we put arguments for the importance of geosocial network anonymization before exploiting the dataset. We apply the clustering anonymization methods according to geographical coordinates and the values of location entropy on the real-world data to prevent the location privacy leakage. Afterwards, we compare the network metrics in the original and anonymized real-world datasets and measure the impact of the anonymization on the metric values.

Název v anglickém jazyce

The impact of anonymization on the geosocial network metrics used in socio-economic analysis

Popis výsledku anglicky

The expansion of mobile devices equipped with GPS (Global Positioning System) locators corresponds to the development of the highly customized location-based services including geosocial networks. The usage of customized location-based services positively effects many aspects of users’ daily routines from travelling to choosing the best restaurant. On the other hand, providing customized services relates to collecting and storing large amount of users’ information and gives rise to many privacy-preserving issues. In this paper, we discuss the privacy concerns connected with publishing geosocial network datasets and the impact of the anonymization on the utility of the geosocial network dataset. Considering the importance of the geosocial network for the socioeconomic analysis, we put arguments for the importance of geosocial network anonymization before exploiting the dataset. We apply the clustering anonymization methods according to geographical coordinates and the values of location entropy on the real-world data to prevent the location privacy leakage. Afterwards, we compare the network metrics in the original and anonymized real-world datasets and measure the impact of the anonymization on the metric values.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the international scientific conference Hradec Economic Days 2020

ISBN

978-80-7435-776-3

ISSN

2464-6059

e-ISSN

2464-6067

Počet stran výsledku

8

Strana od-do

543-550

Název nakladatele

Univerzita Hradec Králové

Místo vydání

Hradec Králové

Místo konání akce

Hradec Králové

Datum konání akce

2. 4. 2020

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000568108700060