期刊名称：International Journal of Computers and Communications
印刷版ISSN：2074-1294
出版年度：2016
卷号：10
页码：23-29
出版社：University Press
摘要：Applications that requires true random number generator (TRNG), which uses raw analog data generated from any noise source in nature, must convert the source normal distribution to uniform distribution. If the TRNG is implemented in a low power device such as a microcontroller, the algorithm for distribution conversion needs to be lightweight and efficient in terms of using as much of the raw data as possible. Many used market implementations convert the raw analog data into digital data by employing a comparator or a Schmitt trigger. This method wastes a large amount of random input data, lowering the throughput of the TRNG. In new national electronic identity card (eID) beyond the true identity of its bearer and to address the increasing concern of user privacy while doing business in Internet a pseudo profile is set. This pseudo profile uses 20 bytes random value generated by database server, using a script during personalization process. In this paper we present a novel algorithm that enables efficient distribution conversion in low power devices. The low memory requirements and efficient processing make it suitable for implementation in microcontrollers or other low power cryptographic devices but also in complex personalization systems. Furthermore we compare the random data generated by our efficient TRNG vs. those generated by database server.
