※ [本文轉錄自 NCTU-STAT97G 看板]
作者: pei16 (^^) 看板: NCTU-STAT97G
標題: [演講公告] 12/25 統計所專題演講
時間: Mon Dec 21 22:34:10 2009
交通大學、清華大學 統計學研究所 專題演講
題 目：A Class of Generators Suitable for Both Security and Simulation
Applications
主講人：鄧利源教授 （Department of Mathematical Sciences, The University of
Memphis, USA )
時 間：98年12月25日(星期五)上午10:00-10:50
(上午10:50-11:10茶會於交大統計所429室舉行)
地 點：交大綜合一館427室
Abstract
Designing a pseudo-random number generator suitable for both simulation and
security applications is a challenging task. Classical generators like Linear
Congruential Generator LCG) or Multiple Recursive Generator (MRG) are good
for simulation applications but not suitable for security applications. They
are considered insecure because it is fairly easy to predict the whole
sequence from just a few past values. Therefore, they are not appropriate for
cryptographic applications. On the other hand, some pseudo-random bit
generators (PRBGs) such as the Blum-Blum-Shub (BBS) PRBG or the RSA PRBG are
considered secure but they tend to be very slow in computation. Hence, they
are not suitable for simulation applications. In this talk, we present a new
class of generators that can fit in both types of applications. Some
evaluation results on the security, efficiency, and empirical performance of
the new class of generators are provided.
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