MARS - Towards Mobile Assisted RSSI Secret Key Extraction Strategy in WBANs

Jack Hodgkiss; Soufiene Djahel

doi:10.1109/CCNC49033.2022.9700605

MARS - Towards Mobile Assisted RSSI Secret Key Extraction Strategy in WBANs

Jack Hodgkiss
, Soufiene Djahel

Manchester Metropolitan University

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Abstract

The emergence of wireless body area networks (WBANs) has paved the way for real-time sensing of human biometrics in addition to remote control of smart medical devices, which in turn is revolutionising the smart healthcare industry. However, the limited power and computational capabilities of WBAN sensors make them vulnerable to a myriad of security attacks, thus securing them is paramount to their success and wider adoption. Received signal strength indicator (RSSI) secure key extraction (SKE) methods are used for securing WBAN sensors. However, such methods may suffer from stagnant RSSI values, significantly increasing the secret keys construction time. To remedy this, we propose a new method that involves one of the two sensors being mobile and thus can be picked up and moved around. This results in the stimulation of RSSI values which in turn improves the quality of the generated keys and thus shortening the execution times of the SKE process. The evaluation results highlighted the effectiveness of our method.

Original language	English
Title of host publication	2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	703-706
Number of pages	4
ISBN (Print)	9781665431613, 9781665431620
DOIs	https://doi.org/10.1109/CCNC49033.2022.9700605
Publication status	Published - 10 Feb 2022
Externally published	Yes
Event	2022 IEEE 19th Annual Consumer Communications & Networking Conference - Virtual, Las Vegas, United States Duration: 8 Jan 2022 → 11 Jan 2022

Publication series

Name
Publisher	IEEE
ISSN (Electronic)	2331-9860

Conference

Conference	2022 IEEE 19th Annual Consumer Communications & Networking Conference
Abbreviated title	CCNC
Country/Territory	United States
City	Las Vegas
Period	8/01/22 → 11/01/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

RSSI
Secret Key Extraction
WBANs

ASJC Scopus subject areas

Artificial Intelligence
Electrical and Electronic Engineering
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1109/CCNC49033.2022.9700605

Cite this

Hodgkiss, J & Djahel, S 2022, MARS - Towards Mobile Assisted RSSI Secret Key Extraction Strategy in WBANs. in 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). Institute of Electrical and Electronics Engineers Inc., pp. 703-706, 2022 IEEE 19th Annual Consumer Communications & Networking Conference , Las Vegas, United States, 8/01/22. https://doi.org/10.1109/CCNC49033.2022.9700605

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title = "MARS - Towards Mobile Assisted RSSI Secret Key Extraction Strategy in WBANs",

abstract = "The emergence of wireless body area networks (WBANs) has paved the way for real-time sensing of human biometrics in addition to remote control of smart medical devices, which in turn is revolutionising the smart healthcare industry. However, the limited power and computational capabilities of WBAN sensors make them vulnerable to a myriad of security attacks, thus securing them is paramount to their success and wider adoption. Received signal strength indicator (RSSI) secure key extraction (SKE) methods are used for securing WBAN sensors. However, such methods may suffer from stagnant RSSI values, significantly increasing the secret keys construction time. To remedy this, we propose a new method that involves one of the two sensors being mobile and thus can be picked up and moved around. This results in the stimulation of RSSI values which in turn improves the quality of the generated keys and thus shortening the execution times of the SKE process. The evaluation results highlighted the effectiveness of our method.",

keywords = "RSSI, Secret Key Extraction, WBANs",

author = "Jack Hodgkiss and Soufiene Djahel",

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doi = "10.1109/CCNC49033.2022.9700605",

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booktitle = "2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC)",

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T1 - MARS - Towards Mobile Assisted RSSI Secret Key Extraction Strategy in WBANs

AU - Hodgkiss, Jack

AU - Djahel, Soufiene

PY - 2022/2/10

Y1 - 2022/2/10

N2 - The emergence of wireless body area networks (WBANs) has paved the way for real-time sensing of human biometrics in addition to remote control of smart medical devices, which in turn is revolutionising the smart healthcare industry. However, the limited power and computational capabilities of WBAN sensors make them vulnerable to a myriad of security attacks, thus securing them is paramount to their success and wider adoption. Received signal strength indicator (RSSI) secure key extraction (SKE) methods are used for securing WBAN sensors. However, such methods may suffer from stagnant RSSI values, significantly increasing the secret keys construction time. To remedy this, we propose a new method that involves one of the two sensors being mobile and thus can be picked up and moved around. This results in the stimulation of RSSI values which in turn improves the quality of the generated keys and thus shortening the execution times of the SKE process. The evaluation results highlighted the effectiveness of our method.

AB - The emergence of wireless body area networks (WBANs) has paved the way for real-time sensing of human biometrics in addition to remote control of smart medical devices, which in turn is revolutionising the smart healthcare industry. However, the limited power and computational capabilities of WBAN sensors make them vulnerable to a myriad of security attacks, thus securing them is paramount to their success and wider adoption. Received signal strength indicator (RSSI) secure key extraction (SKE) methods are used for securing WBAN sensors. However, such methods may suffer from stagnant RSSI values, significantly increasing the secret keys construction time. To remedy this, we propose a new method that involves one of the two sensors being mobile and thus can be picked up and moved around. This results in the stimulation of RSSI values which in turn improves the quality of the generated keys and thus shortening the execution times of the SKE process. The evaluation results highlighted the effectiveness of our method.

KW - RSSI

KW - Secret Key Extraction

KW - WBANs

UR - https://www.scopus.com/pages/publications/85135734218

U2 - 10.1109/CCNC49033.2022.9700605

DO - 10.1109/CCNC49033.2022.9700605

M3 - Conference proceeding

SN - 9781665431613

SN - 9781665431620

SP - 703

EP - 706

BT - 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE 19th Annual Consumer Communications & Networking Conference

Y2 - 8 January 2022 through 11 January 2022

ER -

MARS - Towards Mobile Assisted RSSI Secret Key Extraction Strategy in WBANs

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this