Privacy-Preserving Statistical Analysis on Ubiquitous Health Data

Drosatos, George ; Efraimidis, Pavlos S. (2011)


In this work, we consider ubiquitous health data generated from wearable sensors in a Ubiquitous Health Monitoring System (UHMS) and examine how these data can be used within privacy preserving distributed statistical analysis. To this end, we propose a secure multi-party computation based on a privacy-preserving cryptographic protocol that accepts as input current or archived values of users’ wearable sensors. We describe a prototype implementation of the proposed solution with a community of independent personal agents and present preliminary results that confirm the viability of the approach.

c Springer-Verlag Berlin Heidelberg 2011
Except where otherwise noted, this item's license is described as c Springer-Verlag Berlin Heidelberg 2011