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¿µ¹®Ç¥Áظí Entropy Evaluation Algorithms for Noise Sources in Software Environments
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¿µ¹®³»¿ë¿ä¾à The standard specifies the algorithms that can be used to evaluate the entropy of noise sources used in random bit generators in software environments. The standard suggests statistical tests and entropy measurement algorithms.
Types of statistical tests consist of two parts, one is statistical randomness tests and the other is health tests.
The statistical randomness tests for noise sources output the P-value using the error function of standard normal distribution if the measured value approximates the expectation value in an (ideal) uniform distribution. The health test are to detect if the generated noise source are caused abnormal behavior from specific patterns.
Also, the algorithms of entropy measurement are based on 1) probability theory and information theory such as min-entropy and shannon entropy, and 2) byte correlation. Moreover, the standard specifies test vectors of the algorithms and software noise source testing examples.
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°ü·ÃÆÄÀÏ TTAK.KO-12.0306.pdf TTAK.KO-12.0306.pdf             TTAK.KO-12.0306E.pdf TTAK.KO-12.0306E.pdf

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