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

Jack Hodgkiss, Soufiene Djahel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 languageEnglish
Title of host publication2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781665431613
ISBN (Print)9781665431620
Publication statusPublished - 10 Feb 2022
Externally publishedYes
Event19th IEEE Annual Consumer Communications and Networking Conference - Virtual, Online, United States
Duration: 8 Jan 202211 Jan 2022
Conference number: 19

Publication series

NameProceedings - IEEE Consumer Communications and Networking Conference, CCNC
ISSN (Print)2331-9852
ISSN (Electronic)2331-9860


Conference19th IEEE Annual Consumer Communications and Networking Conference
Abbreviated titleCCNC 2022
Country/TerritoryUnited States
CityVirtual, Online


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