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  5. Security enhanced Emergency Situation Detection System for Ambient Assisted Living
 
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Security enhanced Emergency Situation Detection System for Ambient Assisted Living

Author(s)
Shabisha, Placide  
Sandeepa, Chamara  
Moremada, Charuka  
Liyanage, Madhusanka  
et al.  
Uri
http://hdl.handle.net/10197/24825
Date Issued
2021-07-07
Date Available
2023-10-17T16:16:44Z
Abstract
Typical wearable devices use a dedicated mobile phone as relay node to transfer the collected sensor data to a server. However, such relay nodes can be faulty or inactive due to various reasons, leading to interruptions of the communication link. To mitigate this challenge, we propose a novel security-enhanced emergency situation detection system, where 3\textsuperscript{rd} party unknown mobile relays are used instead of dedicated gateways as opposed to many existing solutions for IoT healthcare applications. The proposed underlying key agreement and authentication scheme ensures anonymity and untraceability for both sensors (wearable devices) and relay nodes, and relies on symmetric key-based operations to function under resource-constrained environments. We have also developed a prototype of the system using commercial off-the-shelf devices to verify the proposed method's validity and evaluate the performance advantage over existing approaches. Bluetooth Low Energy (BLE) communication technology is used to connect sensor nodes (wearable devices) and mobile relays. After sending medical data to the cloud server, the relay node is responsible for emergency detection and alert generation.
Sponsorship
European Commission
University College Dublin
Other Sponsorship
Academy of Finland
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Open Journal of the Computer Society
Volume
2
Start Page
241
End Page
259
Subjects

Internet of Things

Bluetooth low energy

Mobile relays

Emergency detection

Mobility

Symmetric key

Key agreement

Rubin-logic

DOI
10.1109/ojcs.2021.3095341
Language
English
Status of Item
Peer reviewed
ISSN
2644-1268
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by/3.0/ie/
File(s)
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IEEE_OJCS_BLE_AAL_Journal__Second_Submission___Clean_ (1).pdf

Size

15.07 MB

Format

Adobe PDF

Checksum (MD5)

2eaad6a599268f8303a07808eabb886a

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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