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¿µ¹®Ç¥Áظí Entropy Evaluation Algorithms for Noise Sources in Software Environments
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¶ÇÇÑ ¿£Æ®·ÎÇÇ ÃøÁ¤¹æ¹ýÀ¸·Î È®·ü·Ð ¹× Á¤º¸ÀÌ·Ð ±â¹Ý ÃøÁ¤¹æ¹ýÀÎ ÃÖ¼Ò ¿£Æ®·ÎÇÇ ÃøÁ¤¹æ¹ý°ú Shannon ¿£Æ®·ÎÇÇ ÃøÁ¤¹æ¹ýÀ» Á¦½ÃÇÑ´Ù. ±×¸®°í ¿£Æ®·ÎÇÇÀÇ °ÇÀü¼ºÀ» È®ÀÎÇÏ´Â ¹æ¹ýÀ¸·Î´Â ´ÙÁß ¹ÙÀÌÆ®¿¡ ´ëÇÑ ¹ÙÀÌÆ® »ó°ü°ü°è ±â¹Ý ¿£Æ®·ÎÇÇ ÃøÁ¤, ºñÆ®/¹ÙÀÌÆ® °£ µ¶¸³¼º °ËÁ¤¹æ¹ý°ú Ãë¾à ÆÐÅÏ °ËÃâ¹æ¹ýÀÌ ÀÖ´Ù. ¶ÇÇÑ °¢ °ËÁõ ¾Ë°í¸®Áò¿¡ ´ëÇÑ ÂüÁ¶ ±¸Çö°ª°ú ¼ÒÇÁÆ®¿þ¾î ÀâÀ½¿ø °ËÁõ »ç·Êµµ ÀÌ Ç¥ÁØ¿¡ Æ÷ÇԵǾî ÀÖ´Ù.
¿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 test and entropy measurement algorithms.
Statistical test consists of two parts, statistical randomness test and heath test.
The statistical randomness test for noise sources outputs 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 is to detect if the generated noise source is caused abnormal behavior from specific patterns.
Furthermore, the algorithms of entropy measurement are based on 1) probability theory and information theory such as minimum 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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