文章基本信息

标题：On the Entropy Bounds for Collision Statistic
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作者：Ju-Sung Kang ; Yongjin Yeom ; Okyeon Yi 等
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2013
卷号：7
期号：4
出版社：SERSC
摘要：Hagerty and Draper [3] presented a theoretical result that explains the probabilistic back- ground of the NIST’s entropy test at the random bit generation workshop in 2012. They introduced the notion of an entropic statistic and desired to bound the entropy rate of an unknown output distribution of a given entropy source. However there has been no detailed derivation process about the upper bound, while the theoretical steps of obtaining the lower bound are well described. In this paper we give an elaborate mathematical analysis to obtain the upper bound for the collision statistic. We also present an extended simulation results to investigate practical usefulness of the entropy bounds.
关键词：Entropy; Entropic statistic; Collision statistic.