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Biometrics based novel key distribution solution for body sensor networks.

Fen Miao¹, Lei Jiang, Ye Li

¹Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518067, China. fen.miao@sub.siat.ac.cn

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

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This study introduces a new method for secure key distribution in wireless body sensor networks (BSNs) using electrocardiographic (ECG) signals. The novel approach significantly improves security for telemedicine and m-healthcare applications.

Area of Science:

Biomedical Engineering
Cybersecurity
Signal Processing

Background:

Wireless Body Sensor Networks (BSNs) are crucial for telemedicine and m-healthcare.
Ensuring the security of BSNs, particularly key distribution, remains a significant challenge.

Purpose of the Study:

To propose a novel key distribution solution for BSNs.
To enhance the security of cryptographic keys generated from physiological signals.

Main Methods:

Applied a fuzzy vault scheme to secure cryptographic keys derived from electrocardiographic (ECG) signals.
Simulated the key distribution solution using ECG data from the MIT PhysioBank database.

Main Results:

Achieved a minimum half total error rate (HTER) of 0.65% for the proposed key distribution solution.

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Demonstrated a substantial improvement over a previous method which had an HTER of 4.26%.

Conclusions:

The developed key distribution solution shows significant promise for securing wireless body sensor networks.
The method offers a more secure and efficient approach to key management in m-healthcare and telemedicine contexts.