Privately Connecting Mobility to Infectious Diseases via Applied Cryptography

Alexandros Bampoulidis; Alessandro Bruni; Lukas Helminger; Daniel Kales; Christian Rechberger; Roman Walch

doi:10.56553/popets-2022-0132

Privately Connecting Mobility to Infectious Diseases via Applied Cryptography

Alexandros Bampoulidis, Alessandro Bruni, Lukas Helminger, Daniel Kales, Christian Rechberger, Roman Walch^*

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

Recent work has shown that cell phone mobility data has the unique potential to create accurate models for human mobility and consequently the spread of infected diseases [74]. While prior studies have exclusively relied on a mobile network operator’s subscribers’ aggregated data in modelling disease dynamics, it may be preferable to contemplate aggregated mobility data of infected individuals only. Clearly, naively linking mobile phone data with health records would violate privacy by either allowing to track mobility patterns of infected individuals, leak information on who is infected, or both. This work aims to develop a solution that reports the aggregated mobile phone location data of in-
fected individuals while still maintaining compliance with privacy expectations. To achieve privacy, we use homomorphic encryption, validation techniques derived from zero-knowledge proofs, and differential privacy.
Our protocol’s open-source implementation can process eight million sub-
scribers in 70 minutes.

Originalsprache	englisch
Titel	Proceedings on Privacy Enhancing Technologies 2022
Seiten	768-788
Seitenumfang	34
Band	4
DOIs	https://doi.org/10.56553/popets-2022-0132
Publikationsstatus	Veröffentlicht - 11 Juli 2022
Veranstaltung	22nd Privacy Enhancing Technologies Symposium: PETS 2022 - Sydney, Australien Dauer: 11 Juli 2022 → 15 Juli 2022 Konferenznummer: 22

Konferenz

Konferenz	22nd Privacy Enhancing Technologies Symposium
Kurztitel	PETS 2022
Land/Gebiet	Australien
Zeitraum	11/07/22 → 15/07/22

UN SDGs

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10.56553/popets-2022-0132Lizenz: CC BY-NC-ND 3.0

Andere Dateien und Links

DDAI - Erklärbare, überprüfbare und datenschutzkonforme KI
Rechberger, C. (Teilnehmer (Co-Investigator)), Lindstaedt, S. (Teilnehmer (Co-Investigator)), Trügler, A. (Teilnehmer (Co-Investigator)), Pammer-Schindler, V. (Teilnehmer (Co-Investigator)), Kern, R. (Teilnehmer (Co-Investigator)) & Kowald, D. (Teilnehmer (Co-Investigator))
1/01/20 → 31/12/23
Projekt: Forschungsprojekt
EU - KRAKEN - Vermittlungs- und Marktplattform für personenbezogene Daten
Tauber, A. (Teilnehmer (Co-Investigator))
1/12/19 → 30/11/22
Projekt: Forschungsprojekt

Dieses zitieren

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title = "Privately Connecting Mobility to Infectious Diseases via Applied Cryptography",

abstract = "Recent work has shown that cell phone mobility data has the unique potential to create accurate models for human mobility and consequently the spread of infected diseases [74]. While prior studies have exclusively relied on a mobile network operator{\textquoteright}s subscribers{\textquoteright} aggregated data in modelling disease dynamics, it may be preferable to contemplate aggregated mobility data of infected individuals only. Clearly, naively linking mobile phone data with health records would violate privacy by either allowing to track mobility patterns of infected individuals, leak information on who is infected, or both. This work aims to develop a solution that reports the aggregated mobile phone location data of in-fected individuals while still maintaining compliance with privacy expectations. To achieve privacy, we use homomorphic encryption, validation techniques derived from zero-knowledge proofs, and differential privacy.Our protocol{\textquoteright}s open-source implementation can process eight million sub-scribers in 70 minutes.",

author = "Alexandros Bampoulidis and Alessandro Bruni and Lukas Helminger and Daniel Kales and Christian Rechberger and Roman Walch",

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AU - Bampoulidis, Alexandros

AU - Bruni, Alessandro

AU - Helminger, Lukas

AU - Kales, Daniel

AU - Rechberger, Christian

AU - Walch, Roman

N1 - Conference code: 22

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Privately Connecting Mobility to Infectious Diseases via Applied Cryptography

Abstract

Konferenz

UN SDGs

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Andere Dateien und Links

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Projekte

DDAI - Erklärbare, überprüfbare und datenschutzkonforme KI

EU - KRAKEN - Vermittlungs- und Marktplattform für personenbezogene Daten

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