Doctoral theses
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Current Record: 14 of 125
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Identifier |
000456487 |
Title |
Decentralized privacy-preserving data sharing : the case of wearable data |
Author
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Marchioro, Thomas S.
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Thesis advisor
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Μαρκάτος, Ευάγγελος
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Reviewer
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Pallis, George
Girdzijauskas, Sarunas
Παπαδοπούλη, Μαρία
Βακάλη, Αθηνά
Στυλιανού, Γιάννης
Πρατικάκης, Πολύβιος
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Abstract |
Commercial wearable devices such as fitness trackers and smartwatches have gained
momentum as powerful tools for health research. However, collecting and publishing such data raises privacy concerns that must be addressed. In this thesis, we
investigate the privacy risks associated with collecting and publishing wearable data
for health-related applications. Specifically, we examine the potential for wearable
data to be used as a “fingerprint” to de-anonymize people who produce them. We
mainly focus on the possibility of re-identifying fitness tracker users that have participated in health-related experiments such as observational studies. To mitigate these
threats, we propose various defense mechanisms, including centralized and decentralized anonymization approaches, to protect individuals in wearable datasets. Although
both approaches are studied, the thesis primarily focuses on the latter, as they enable
personalized data sanitization processes that can meet different privacy requirements.
Moreover, the proposed decentralized solutions provide theoretical privacy guarantees
based on the concept of differential privacy. In this work, we demonstrate the feasibility of decentralized mechanisms for anonymizing wearable data in health studies and
promote them as a practical tool for collecting and publishing such data.
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Language |
English |
Subject |
Data privacy |
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Decentralized solutions |
Issue date |
2023-07-21 |
Collection
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School/Department--School of Sciences and Engineering--Department of Computer Science--Doctoral theses
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Type of Work--Doctoral theses
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Permanent Link |
https://elocus.lib.uoc.gr//dlib/5/a/0/metadata-dlib-1687333322-608244-10405.tkl
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Views |
988 |