ENT Randomness Test on DM-PRESENT-80 and DM-PRESENT-128-based Pseudorandom Number Generator

B. H. Susanti, Jimmy Jimmy, Mareta W. Ardyani
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引用次数: 1

Abstract

In cryptography, random numbers hold a special importance in which they can be utilized as keys, to generate challenges, or merely as a value. The Pseudorandom Number Generator (PRNG), as the name suggests, makes the generation of random numbers possible. It is widely accepted that there are two different categories of PRNG algorithms, namely the specifically built and those based on existing cryptography algorithms. The block cipher-based hash function scheme is one of the mostly used algorithms to generate outputs of a PRNG. In this study, we performed the ENT randomness test on PRNG which is based on hash function based on block cipher. Since the hash function produces a fixed output, the data set will be used to match the required sample. The hash function scheme used is Davies-Meyer with block cipher construction, namely the PRESENT-80 and PRESENT-128 algorithms. The results showed that the output sequences produced by one iteration and two iterations of DM-PRESENT-80 and DM-PRESENT-128 as a whole passed the ENT test, which means that the PRNG has a random output.
基于DM-PRESENT-80和dm - present -128伪随机数发生器的ENT随机性检验
在密码学中,随机数具有特殊的重要性,因为它们可以用作密钥,生成挑战,或仅作为值。伪随机数生成器(PRNG),顾名思义,使随机数的生成成为可能。人们普遍认为PRNG算法有两类,即专门构建的PRNG算法和基于现有密码算法的PRNG算法。基于分组密码的哈希函数方案是生成PRNG输出最常用的算法之一。在本研究中,我们对基于分组密码的哈希函数的PRNG进行了ENT随机性检验。由于哈希函数产生固定的输出,因此将使用该数据集来匹配所需的样本。所使用的哈希函数方案是带有分组密码结构的Davies-Meyer,即PRESENT-80和PRESENT-128算法。结果表明,DM-PRESENT-80和DM-PRESENT-128的1次迭代和2次迭代产生的输出序列总体上通过了ENT检验,表明PRNG具有随机输出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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