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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Standard

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).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Darwish, S, Nouretdinov, I & Wolthusen, S 2018, A Dynamic Distributed Architecture for Preserving Privacy of Medical IoT Monitoring Measurements. in 16th International Conference On Smart homes and health Telematics (ICOST'2018). Lecture Notes in Computer Science, Springer, pp. 146-157. DOI: 10.1007/978-3-319-94523-1_13

APA

Darwish, S., Nouretdinov, I., & Wolthusen, S. (2018). A Dynamic Distributed Architecture for Preserving Privacy of Medical IoT Monitoring Measurements. In 16th International Conference On Smart homes and health Telematics (ICOST'2018) (pp. 146-157). (Lecture Notes in Computer Science). Springer. DOI: 10.1007/978-3-319-94523-1_13

Vancouver

Darwish S, Nouretdinov I, Wolthusen S. A Dynamic Distributed Architecture for Preserving Privacy of Medical IoT Monitoring Measurements. In 16th International Conference On Smart homes and health Telematics (ICOST'2018). Springer. 2018. p. 146-157. (Lecture Notes in Computer Science). Available from, DOI: 10.1007/978-3-319-94523-1_13

Author

Darwish, Salaheddin ; Nouretdinov, Ilia ; Wolthusen, Stephen. / A Dynamic Distributed Architecture for Preserving Privacy of Medical IoT Monitoring Measurements. 16th International Conference On Smart homes and health Telematics (ICOST'2018). Springer, 2018. pp. 146-157 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{6f4fcc4caa2d4056ac2fb4a72f24d169,
title = "A Dynamic Distributed Architecture for Preserving Privacy of Medical IoT Monitoring Measurements",
abstract = "Medical and general health-related measurements can increasingly be performed via IoT components and protocols, whilst inexpensive 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. differential 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 different third parties such as medical device manufacturers for extended periods. This appears to be very challenging especially 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.",
author = "Salaheddin Darwish and Ilia Nouretdinov and Stephen Wolthusen",
year = "2018",
doi = "10.1007/978-3-319-94523-1_13",
language = "English",
isbn = "978-3-319-94522-4",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "146--157",
booktitle = "16th International Conference On Smart homes and health Telematics (ICOST'2018)",

}

RIS

TY - GEN

T1 - A Dynamic Distributed Architecture for Preserving Privacy of Medical IoT Monitoring Measurements

AU - Darwish,Salaheddin

AU - Nouretdinov,Ilia

AU - Wolthusen,Stephen

PY - 2018

Y1 - 2018

N2 - Medical and general health-related measurements can increasingly be performed via IoT components and protocols, whilst inexpensive 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. differential 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 different third parties such as medical device manufacturers for extended periods. This appears to be very challenging especially 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.

AB - Medical and general health-related measurements can increasingly be performed via IoT components and protocols, whilst inexpensive 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. differential 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 different third parties such as medical device manufacturers for extended periods. This appears to be very challenging especially 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.

U2 - 10.1007/978-3-319-94523-1_13

DO - 10.1007/978-3-319-94523-1_13

M3 - Conference contribution

SN - 978-3-319-94522-4

T3 - Lecture Notes in Computer Science

SP - 146

EP - 157

BT - 16th International Conference On Smart homes and health Telematics (ICOST'2018)

PB - Springer

ER -