Key result
ECG-based true random number generator successfully validates on standard NIST and DIEHARDER cryptographic tests.
Why the study?
Wireless Sensor Networks require on-board cryptographic solutions including Random Number Generators to address security threats inherent to wireless connectivity.
Population
202 subjects with 24 h of ECG recording from a publicly available dataset
Comparison
ECG-based True Random Number Generator using multi-level wavelet decomposition
Design
Other study type
Follow-up
24 h
Authors
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ECG-based TRNG may secure wireless cardiac sensors; leaves open clinical device validation.
An ECG-based true random number generator successfully passed rigorous statistical tests, demonstrating its potential for securing wireless sensor networks.
Cámara et al. (2018) studied this question. ECG-RNG (True Random Number Generator based on ECG signals) was evaluated on Randomness assessed by statistical tests (ENT, DIEHARDER, and NIST). A True Random Number Generator based on ECG signals successfully passed ENT, DIEHARDER, and NIST statistical tests, demonstrating its output behaves as a random variable suitable for securing WSNs.
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