True random number generators in modern cryptography: A review

Parul Sharma, Syed Farah Naz, Ambika Prasad Shah
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Abstract

With the explosive progress in electronic communication and the widespread use of networks, information security has become increasingly important to people from every aspect of life. Random numbers are sets of numerals arranged so that the values in the sequence are evenly distributed and independent of one another. Due to randomness, random numbers are used by many industries to produce random sets. There are vast industries such as financial institutions, gaming, secure networks, cybersecurity, and others. Over the recent years, as hardware technology advanced, random number generation became an appealing research subject, drawing a lot of effort from the research community worldwide. The random number generators are mainly classified as true random number generators and Pseudo-random number generators. True random numbers have better randomness and unpredictability in encryption and keys than pseudorandom numbers. The starting sections give a brief idea of security and the different types of attacks on it. Then, different hardware security preventive measures are discussed. This paper aims to deliver a methodical review of true random number generators (TRNGs). The main part of TRNG is to select an appropriate source of randomness and designs that are exposed to assist researchers in choosing the ones that best suit their needs and goals. The existing TRNG designs were reviewed, highlighting their role and their impact on the field. We also devote a part of the paper to reviewing different technology-based TRNGs and what parameters are required to design appropriate true random number generators.
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现代密码学中的真随机数生成器:综述
随着电子通信的爆炸式发展和网络的广泛使用,信息安全对人们生活的各个方面变得越来越重要。随机数是一组数字的排列,使序列中的值均匀分布,彼此独立。由于随机性,许多行业使用随机数来生成随机集。有大量的行业,如金融机构、游戏、安全网络、网络安全等。近年来,随着硬件技术的进步,随机数生成成为一个很有吸引力的研究课题,吸引了世界各地的研究人员的大量努力。随机数生成器主要分为真随机数生成器和伪随机数生成器。在加密和密钥方面,真随机数比伪随机数具有更好的随机性和不可预测性。开始部分简要介绍了安全性以及针对安全性的不同类型的攻击。然后,讨论了不同的硬件安全防范措施。本文旨在提供真随机数生成器(trng)的系统综述。TRNG的主要部分是选择一个适当的随机性和设计来源,以帮助研究人员选择最适合他们的需求和目标的来源。对现有TRNG设计进行了审查,强调了它们在现场的作用和影响。我们还花了一部分时间来回顾不同的基于技术的trng,以及设计合适的真随机数生成器需要哪些参数。
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