Electrocardiogram-to-Pair (E2P): A Secure Group Pairing Protocol for WBAN Devices

In a wireless body area network (WBAN), group pairing among multiple wearable devices enables efficient and secure broadcasting group messages. Existing pairing methods that rely on trusted concentrators, active participation of users, or homogeneous environments are vulnerable to single point of failure and have restricted practicality. In this article, we propose Electrocardiogram-to-Pair (E2P), an electrocardiogram (ECG)-based secure group pairing protocol for WBAN devices that allows the establishment of a shared group key among multiple devices without requiring the user involvement or the central device. First, all wearable devices worn by the same user simultaneously collect ECG signals, which are then pre-processed through filtering and alignment to minimize the effect of noise on the pairing. Next, an adaptive quantization method is designed to reliably quantize the pre-processed ECG signals to generate initial keys. This method is ingenious as it relies on feature transformation and dynamic thresholds generation in the quantization process, which effectively ensures the security of biometrics and increases the key generation rate. Then, the group key is established among devices with initial keys through an improved Cascade method. The simulation results demonstrate that E2P achieves an effective balance the reliability and efficiency in group pairing, with outstanding performance in both security and key generation rate.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-05-14
DOI
https://doi.org/10.1109/jiot.2025.3569986
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

Electrocardiogram-to-Pair (E2P): A Secure Group Pairing Protocol for WBAN Devices

Guichuan Zhao, Jianfeng Ma, Youliang Tian, Qi Jiang
IEEE Internet of Things Journal
Wireless Body Area Networks
article

Electrocardiogram-to-Pair (E2P): A Secure Group Pairing Protocol for WBAN Devices

Guichuan Zhao, Jianfeng Ma, Youliang Tian, Qi Jiang
article en

Abstract

In a wireless body area network (WBAN), group pairing among multiple wearable devices enables efficient and secure broadcasting group messages. Existing pairing methods that rely on trusted concentrators, active participation of users, or homogeneous environments are vulnerable to single point of failure and have restricted practicality. In this article, we propose Electrocardiogram-to-Pair (E2P), an electrocardiogram (ECG)-based secure group pairing protocol for WBAN devices that allows the establishment of a shared group key among multiple devices without requiring the user involvement or the central device. First, all wearable devices worn by the same user simultaneously collect ECG signals, which are then pre-processed through filtering and alignment to minimize the effect of noise on the pairing. Next, an adaptive quantization method is designed to reliably quantize the pre-processed ECG signals to generate initial keys. This method is ingenious as it relies on feature transformation and dynamic thresholds generation in the quantization process, which effectively ensures the security of biometrics and increases the key generation rate. Then, the group key is established among devices with initial keys through an improved Cascade method. The simulation results demonstrate that E2P achieves an effective balance the reliability and efficiency in group pairing, with outstanding performance in both security and key generation rate.

IEEE Internet of Things JournalVol. 12(15)
Xidian University (CN), Guizhou University (CN)
National Natural Science Foundation of China, Science and Technology Program of Guizhou Province
Openalex Percentile: Top 90%
Wireless Body Area Networks
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Electrocardiogram-to-Pair (E2P): A Secure Group Pairing Protocol for WBAN Devices — Guichuan Zhao, Jianfeng Ma, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS