Mobility Data Anonymization by Obfuscating the Cellular Network Topology Graph

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00211549" target="_blank" >RIV/68407700:21230/13:00211549 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654824" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6654824</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICC.2013.6654824" target="_blank" >10.1109/ICC.2013.6654824</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Mobility Data Anonymization by Obfuscating the Cellular Network Topology Graph

Popis výsledku v původním jazyce

Studies of cellular-network data, comprising analyses of user movements across the network, are becoming increasingly popular with the rise of new services based on user behavior and geographic location. Such data might contain, for example, timestampedlists of IDs of cells a user was registered to. If coupled with the cell locations, confidential to the operator, this would enable reconstruction of user trajectories across the regions covered. It is vital to preserve privacy of this data for all partsinvolved (users, operators) while enabling open sharing of the data to foster research and development of new findings, services and technologies based on mining of this data. Thus, we pose the problem of obfuscating entire cellular-network topologies while retaining some of the analytical value of the user data. To this end, we adopt multiple obfuscation methods based on different topology-graph distortions, and analyze their performance using simulated scenarios.

Název v anglickém jazyce

Mobility Data Anonymization by Obfuscating the Cellular Network Topology Graph

Popis výsledku anglicky

Studies of cellular-network data, comprising analyses of user movements across the network, are becoming increasingly popular with the rise of new services based on user behavior and geographic location. Such data might contain, for example, timestampedlists of IDs of cells a user was registered to. If coupled with the cell locations, confidential to the operator, this would enable reconstruction of user trajectories across the regions covered. It is vital to preserve privacy of this data for all partsinvolved (users, operators) while enabling open sharing of the data to foster research and development of new findings, services and technologies based on mining of this data. Thus, we pose the problem of obfuscating entire cellular-network topologies while retaining some of the analytical value of the user data. To this end, we adopt multiple obfuscation methods based on different topology-graph distortions, and analyze their performance using simulated scenarios.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2013 IEEE International Conference on Communications (ICC)

ISBN

978-1-4673-3122-7

ISSN

1550-3607

e-ISSN

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Počet stran výsledku

5

Strana od-do

2032-2036

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Budapest

Datum konání akce

9. 6. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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