UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

PRISM: Privacy Preserving Healthcare Internet of Things Security Management

Hadjixenophontos, S; Mandalari, AM; Zhao, Y; Haddadi, H; (2023) PRISM: Privacy Preserving Healthcare Internet of Things Security Management. In: Proceedings - IEEE Symposium on Computers and Communications. IEEE Green open access

[thumbnail of 2212.14736.pdf]
Preview
Text
2212.14736.pdf - Other

Download (433kB) | Preview

Abstract

Consumer healthcare Internet of Things (IoT) devices are gaining popularity in our homes and hospitals. These devices provide continuous monitoring at a low cost and can be used to augment high-precision medical equipment. However, major challenges remain in applying pre-Trained global models for anomaly detection on smart health monitoring, for a diverse set of individuals that they provide care for. In this paper, we propose PRISM, an edge-based system for experimenting with in-home smart healthcare devices. We develop a rigorous methodology that relies on automated IoT experimentation. We use a rich real-world dataset from in-home patient monitoring from 44 households of People Living With Dementia (PLWD) over two years. Our results indicate that anomalies can be identified with accuracy up to 99% and mean training times as low as 0.88 seconds. While all models achieve high accuracy when trained on the same patient, their accuracy degrades when evaluated on different patients.

Type: Proceedings paper
Title: PRISM: Privacy Preserving Healthcare Internet of Things Security Management
Event: 2023 IEEE Symposium on Computers and Communications (ISCC 2023), 9-12 July 2023, Gammarth, Tunisia
Dates: 9 Jul 2023 - 12 Jul 2023
ISBN-13: 9798350300482
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ISCC58397.2023.10218268
Publisher version: https://doi.org/10.1109/ISCC58397.2023.10218268
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10180535
Downloads since deposit
27Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item