Are the Interpulse Intervals of an ECG signal a good source of entropy? An in-depth entropy analysis based on NIST 800-90B recommendation

Ortiz-Martin, Lara; Picazo-Sanchez, Pablo; Peris-López, Pedro

doi:10.1016/j.future.2019.12.002

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Cited by 4 publications

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“…Remarkably, there is a large number of works ( 16) that do not evaluate how good the derived tokens are. In addition to that, we did only find two papers where authors evaluated whether the heart can be considered a good source of entropy [199,200]. The main reason might be due to the high constraints in terms of size of the dataset that the NIST set: "a sequential dataset of at least 1,000,000 consecutive sample values obtained directly from the noise source".…”

Section: Summary Of Surveyed Papersmentioning

confidence: 99%

Heart-Based Biometric Protocols: A look back over almost two decades

Ortiz-Martin¹,

Picazo-Sanchez²

2022

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This article surveys the literature over the period 2003-2021 on heart-based biometric protocols. In particular, we focus on how the heart signal is transformed from a continuous wave to discrete values to be used afterwards in authentication protocols. We explain and classify the surveyed proposals according to three main parameters: i) the dataset they use for testing their results; ii) the delineation algorithms they use to extract the fiducial points, and; iii) the cryptographic tests they run (if any) to validate how random the extracted token is.

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Section: Summary Of Surveyed Papersmentioning

confidence: 99%