Figure 1: High-level overview of the extraction method. | Scientific Reports

Figure 1: High-level overview of the extraction method.

From: True Randomness from Big Data

Figure 1

(a) The core of the proposed method is the streaming extractor. The description corresponds to one big source, with parameter estimation and initial seed generation done only once. Repeating the seed generation is optional, and is not needed for practical purposes. (b) The output of the proposed method is validated by standard statistical tests (NIST). On the ideal (theoretical) uniform distribution the P-values are uniformly distributed. We plot the histogram for 1,512,000 P-values proving a high-level indication about the uniformly extracted bits, i.e., well-concentrated frequencies around the expected frequency μ = 0.01. This graph provides a visual overview (averaging), whereas detailed statistics are in the Supplementary Information.

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