Our data is now more valuable than ever. The uncontrolled growth of internet-centered services has led us to accept many compromises about how we share it. In the era of Internet of Things, smart devices are collecting personal data continuously. Now, more than ever, we are in need of privacy-preserving applications where users are always in control of their sensitive data. Previous work focus on the preservation of privacy on datasets possibly collected during clinical trials. In contrast, here we focus on the preservation of privacy during the preliminary recruiting phase of a clinical trial. Our solution, is the first where a) user's data are not stored in any public database and remain in the user's private space during the whole recruiting phase and b) at the same time the Clinical Research Institute is assured that it is acquiring useful and authentic data. We provide a proof-of-concept implementation and study its performance based on a real-world evaluation.

Privacy preserving data management in recruiting participants for digital clinical trials / Angeletti, Fabio; Chatzigiannakis, Ioannis; Vitaletti, Andrea. - ELETTRONICO. - (2017), pp. 7-12. (Intervento presentato al convegno 1st International Workshop on Human-Centered Sensing, Networking, and Systems, HumanSys 2017 tenutosi a Delft; Netherlands) [10.1145/3144730.3144733].

Privacy preserving data management in recruiting participants for digital clinical trials

Fabio Angeletti
;
Ioannis Chatzigiannakis
;
Andrea Vitaletti
2017

Abstract

Our data is now more valuable than ever. The uncontrolled growth of internet-centered services has led us to accept many compromises about how we share it. In the era of Internet of Things, smart devices are collecting personal data continuously. Now, more than ever, we are in need of privacy-preserving applications where users are always in control of their sensitive data. Previous work focus on the preservation of privacy on datasets possibly collected during clinical trials. In contrast, here we focus on the preservation of privacy during the preliminary recruiting phase of a clinical trial. Our solution, is the first where a) user's data are not stored in any public database and remain in the user's private space during the whole recruiting phase and b) at the same time the Clinical Research Institute is assured that it is acquiring useful and authentic data. We provide a proof-of-concept implementation and study its performance based on a real-world evaluation.
2017
1st International Workshop on Human-Centered Sensing, Networking, and Systems, HumanSys 2017
Securityandprivacy, Privacyprotections, Human-centered computing, Mobile devices, Computing methodologies, Machine learning
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Privacy preserving data management in recruiting participants for digital clinical trials / Angeletti, Fabio; Chatzigiannakis, Ioannis; Vitaletti, Andrea. - ELETTRONICO. - (2017), pp. 7-12. (Intervento presentato al convegno 1st International Workshop on Human-Centered Sensing, Networking, and Systems, HumanSys 2017 tenutosi a Delft; Netherlands) [10.1145/3144730.3144733].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1016700
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