一种生成加密安全伪随机数的模糊化方法

M. Akbar, M. Z. Khalid
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引用次数: 1

摘要

提出了一种基于模糊算法的Fortuna种子重播算法。Fortuna是一种伪随机数生成算法,最初由Ferguson和Schneier提出。该算法是专门设计为加密安全的已知攻击。然而,所描述的算法的缺点是缺乏一种算法,该算法可以根据在任何时候从环境中收集的真正随机数据量的变化来适应重新播种的速率。Fortuna算法在固定次数的迭代后执行重新播种操作。本文提出了一种利用模糊方法解决这一问题的新技术的概念和软件实现。最终的算法被命名为fuzzy - fortuna。fuzzy -Fortuna已经使用各种技术进行了测试,与普通Fortuna算法相比,结果显示出相当大的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy-Fortuna: A fuzzified approach to generation of cryptographically secure pseudo-random numbers
A fuzzy based adaptive algorithm for the reseeding operation of Fortuna is presented. Fortuna is a pseudo-random number generation algorithm, originally suggested by Ferguson and Schneier. The algorithm is specifically designed to be cryptographically secure from known attacks. However the described algorithm suffers from a lack of an algorithm which could adapt the rate of reseeding according to variations in the amount of truly random data being gathered from the environment at any time. The Fortuna algorithm performs the reseeding action after a fixed number of iterations. This paper presents concept as well as software implementation of a novel technique using fuzzy approach to tackle this problem. The resulting algorithm has been named fuzz-Fortuna. Fuzz-Fortuna has been tested using various techniques and has shown considerable improvement in results as compared to the ordinary Fortuna algorithm.
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