A Dynamic Distributed Architecture for Preserving Privacy of Medical IoT Monitoring Measurements. / Darwish, Salaheddin; Nouretdinov, Ilia; Wolthusen, Stephen.

16th International Conference On Smart homes and health Telematics (ICOST'2018). Springer, 2018. p. 146-157 (Lecture Notes in Computer Science).

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Medical and general health-related measurements can in-
creasingly be performed via IoT components and protocols, whilst in-
expensive sensors allow the capturing of a wider range of parameters
in clinical, care, and general health monitoring domains. Measurements
must typically be combined to allow e.g. dierential diagnosis, and in
many cases it is highly desirable to track progression over time or to
detect anomalies in care and general monitoring contexts. However, the
sensitive nature of such data requires safeguarding, particularly where
data is retained by dierent third parties such as medical device manu-
facturers for extended periods. This appears to be very challenging espe-
cially when standards-based interoperability (i.e using IoT standards like
HyperCAT or Web of Things-WoT) is to be achieved. This is because
open meta-data of those standards can facilitate inference and source
linkage if compiled or analysed by adversaries. Therefore, we propose an
architecture of pseudonimyised distributed storage including a dynamic
query analyser to protect the privacy of information being released.
Original languageEnglish
Title of host publication16th International Conference On Smart homes and health Telematics (ICOST'2018)
Number of pages12
StateE-pub ahead of print - 19 Jun 2018

Publication series

NameLecture Notes in Computer Science
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 29935332