A Survey of Wearable Devices Pairing Based on Biometric Signals
With the rapid growth of wearable devices, more applications require direct communication between wearable devices. To secure the communication between wearable devices, various pairing protocols have been proposed to generate common keys for encrypting the communication. Since the wearable devices...
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Format: | Article |
Language: | English |
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IEEE
2023-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/10063953/ |
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author | Jafar Pourbemany Ye Zhu Riccardo Bettati |
author_facet | Jafar Pourbemany Ye Zhu Riccardo Bettati |
author_sort | Jafar Pourbemany |
collection | DOAJ |
description | With the rapid growth of wearable devices, more applications require direct communication between wearable devices. To secure the communication between wearable devices, various pairing protocols have been proposed to generate common keys for encrypting the communication. Since the wearable devices are attached to the same body, the devices can generate common keys based on the same context by utilizing onboard sensors to capture a common biometric signal such as body motion, gait, heartbeat, respiration, and EMG signals. The context-based pairing does not need prior information to generate common keys. As context-based pairing does not need any human involvement in the pairing process, the pairing also increase the usability of wearable devices. A wide range of context-based pairing approaches has been proposed with different sensors and different biometric signals. Given the increasing popularity of wearable devices and applications of wearable devices, we believe that it is necessary to have a comprehensive review and comparison on the context-based pairing approaches for future research on the pairing. In this paper, we compare context-based pairing approaches and review common techniques used in pairing based on various biometric signals. |
first_indexed | 2024-04-09T20:41:14Z |
format | Article |
id | doaj.art-76a2af0cb79942449fcd40bb81f7afe8 |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-04-09T20:41:14Z |
publishDate | 2023-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-76a2af0cb79942449fcd40bb81f7afe82023-03-29T23:00:17ZengIEEEIEEE Access2169-35362023-01-0111260702608510.1109/ACCESS.2023.325449910063953A Survey of Wearable Devices Pairing Based on Biometric SignalsJafar Pourbemany0https://orcid.org/0000-0002-1526-0249Ye Zhu1https://orcid.org/0000-0001-6459-204XRiccardo Bettati2https://orcid.org/0000-0002-5877-6667Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH, USADepartment of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH, USADepartment of Computer Science and Engineering, Texas A&M University, College Station, TX, USAWith the rapid growth of wearable devices, more applications require direct communication between wearable devices. To secure the communication between wearable devices, various pairing protocols have been proposed to generate common keys for encrypting the communication. Since the wearable devices are attached to the same body, the devices can generate common keys based on the same context by utilizing onboard sensors to capture a common biometric signal such as body motion, gait, heartbeat, respiration, and EMG signals. The context-based pairing does not need prior information to generate common keys. As context-based pairing does not need any human involvement in the pairing process, the pairing also increase the usability of wearable devices. A wide range of context-based pairing approaches has been proposed with different sensors and different biometric signals. Given the increasing popularity of wearable devices and applications of wearable devices, we believe that it is necessary to have a comprehensive review and comparison on the context-based pairing approaches for future research on the pairing. In this paper, we compare context-based pairing approaches and review common techniques used in pairing based on various biometric signals.https://ieeexplore.ieee.org/document/10063953/Authenticationbiometricsbody area networkthe Internet of Thingsnetwork securitypairing |
spellingShingle | Jafar Pourbemany Ye Zhu Riccardo Bettati A Survey of Wearable Devices Pairing Based on Biometric Signals IEEE Access Authentication biometrics body area network the Internet of Things network security pairing |
title | A Survey of Wearable Devices Pairing Based on Biometric Signals |
title_full | A Survey of Wearable Devices Pairing Based on Biometric Signals |
title_fullStr | A Survey of Wearable Devices Pairing Based on Biometric Signals |
title_full_unstemmed | A Survey of Wearable Devices Pairing Based on Biometric Signals |
title_short | A Survey of Wearable Devices Pairing Based on Biometric Signals |
title_sort | survey of wearable devices pairing based on biometric signals |
topic | Authentication biometrics body area network the Internet of Things network security pairing |
url | https://ieeexplore.ieee.org/document/10063953/ |
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