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A System for Privacy-Preserving Mobile Health and Fitness Data Sharing: Design, Implementation and Evaluation

Maass, Max Jakob :
A System for Privacy-Preserving Mobile Health and Fitness Data Sharing: Design, Implementation and Evaluation.
[Online-Edition: http://tuprints.ulb.tu-darmstadt.de/6674]
Technische Universität , Darmstadt
[Masterarbeit], (2016)

Offizielle URL: http://tuprints.ulb.tu-darmstadt.de/6674

Kurzbeschreibung (Abstract)

The growing spread of smartphones and other mobile devices has given rise to a number of health and fitness applications. Users can track their calorie intake, get reminders to take their medication, and track their fitness workouts. Many of these services have social components, allowing users to find like-minded peers, compete with their friends, or participate in open challenges. However, the prevalent service model forces users to disclose all of their data to the service provider. This may include sensitive information, like their current position or medical conditions. In this thesis, we will design, implement and evaluate a privacy-preserving fitness data sharing system. The system provides privacy not only towards other users, but also against the service provider, does not require any Trusted Third Parties (TTPs), and is backed by strong cryptography. Additionally, it hides the communication metadata (i.e. who is sharing data with whom). We evaluate the security of the system with empirical and formal methods, including formal proofs for parts of the system. We also investigate the performance with empirical data and a simulation of a large-scale deployment. Our results show that the system can provide strong privacy guarantees. However, it incurs a significant networking overhead for large deployments.

Typ des Eintrags: Masterarbeit
Erschienen: 2016
Autor(en): Maass, Max Jakob
Titel: A System for Privacy-Preserving Mobile Health and Fitness Data Sharing: Design, Implementation and Evaluation
Sprache: Englisch
Kurzbeschreibung (Abstract):

The growing spread of smartphones and other mobile devices has given rise to a number of health and fitness applications. Users can track their calorie intake, get reminders to take their medication, and track their fitness workouts. Many of these services have social components, allowing users to find like-minded peers, compete with their friends, or participate in open challenges. However, the prevalent service model forces users to disclose all of their data to the service provider. This may include sensitive information, like their current position or medical conditions. In this thesis, we will design, implement and evaluate a privacy-preserving fitness data sharing system. The system provides privacy not only towards other users, but also against the service provider, does not require any Trusted Third Parties (TTPs), and is backed by strong cryptography. Additionally, it hides the communication metadata (i.e. who is sharing data with whom). We evaluate the security of the system with empirical and formal methods, including formal proofs for parts of the system. We also investigate the performance with empirical data and a simulation of a large-scale deployment. Our results show that the system can provide strong privacy guarantees. However, it incurs a significant networking overhead for large deployments.

Ort: Darmstadt
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik > Sichere Mobile Netze
Hinterlegungsdatum: 13 Aug 2017 19:55
Offizielle URL: http://tuprints.ulb.tu-darmstadt.de/6674
URN: urn:nbn:de:tuda-tuprints-66742
Gutachter / Prüfer: Hollick, Prof. Dr. Matthias
Datum der Begutachtung bzw. der mündlichen Prüfung / Verteidigung / mdl. Prüfung: 30 April 2016
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