A wavelet-based 128-bit key generator using electrocardiogram signals

A wavelet-based 128-bit key generator using electrocardiogram signals. Garcia-Baleon, H., A., Alarcon-Aquino, V., & Starostenko, O. In 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, pages 644-647, 8, 2009. IEEE.

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In this paper, we present a wavelet-based 128-bit key generator using electrocardiogram (ECG) signals. The key generator comprises two independent stages, namely, enrollment and verification-generation. In the latter, an algorithm for determining the keys is also proposed. This work is based on the uniqueness and quasi- stationary behavior of ECG signals with respect to an individual. This lets to consider the ECG signal as a biometric characteristic and guarantees that different keys are released to different individuals. The performance of the proposed key generator is assessed using ECG signals from MIT-BIH database. Simulation results show a false accept rate (FAR) of 22.3% and a false reject rate (FRR) of 18.1%. The 128-bit key released by the generator proposed in this work can be used in several encryption algorithms. © 2009 IEEE.

@inproceedings{
 title = {A wavelet-based 128-bit key generator using electrocardiogram signals},
 type = {inproceedings},
 year = {2009},
 pages = {644-647},
 websites = {http://ieeexplore.ieee.org/document/5236010/},
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 abstract = {In this paper, we present a wavelet-based 128-bit key generator using electrocardiogram (ECG) signals. The key generator comprises two independent stages, namely, enrollment and verification-generation. In the latter, an algorithm for determining the keys is also proposed. This work is based on the uniqueness and quasi- stationary behavior of ECG signals with respect to an individual. This lets to consider the ECG signal as a biometric characteristic and guarantees that different keys are released to different individuals. The performance of the proposed key generator is assessed using ECG signals from MIT-BIH database. Simulation results show a false accept rate (FAR) of 22.3% and a false reject rate (FRR) of 18.1%. The 128-bit key released by the generator proposed in this work can be used in several encryption algorithms. © 2009 IEEE.},
 bibtype = {inproceedings},
 author = {Garcia-Baleon, H. A. and Alarcon-Aquino, V. and Starostenko, O.},
 doi = {10.1109/MWSCAS.2009.5236010},
 booktitle = {2009 52nd IEEE International Midwest Symposium on Circuits and Systems}
}

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