Design of PUF Based Chaotic Random Number Generator

Uday Kiran Anchana, Manisha Mogireddy, Ekshith Kadavergu, Sangeeta Singh
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Abstract

The creation of key sequences for cryptographic protocols such as digital signatures, hashing, encryption, seed vector, one-time passwords (OTP), etc. depends heavily on pseudo random number generators (PRNG). Simple chaotic (PRNG)s exhibit superior randomness and unpredictability. The primary factor increasing area usage is the initial seed, which requires some memory to retain. When compared to other techniques, a simple chaotic pseudo random number generator (CPRNG) has the quality of being very unpredictable and sensitized to the initial seed. If the original seed is compromised, CPRNG is however exposed. We introduced a novel PUF-CPRNG key generation method that is useful for cryptographic applications in this paper. The purpose of PUF in this study is to generate a secured first seed. The proposed PUF-CPRNG which contains dynamic refresh logic to assurance correctness of the generated random numbers at all times. The Proposed Design Consumes 37.5% less Power than the Existing method [1].
基于PUF的混沌随机数发生器设计
加密协议(如数字签名、散列、加密、种子向量、一次性密码(OTP)等)的密钥序列的创建在很大程度上依赖于伪随机数生成器(PRNG)。简单混沌(PRNG)表现出优越的随机性和不可预测性。增加面积使用的主要因素是初始种子,它需要一些内存来保留。与其他技术相比,简单混沌伪随机数生成器(CPRNG)具有不可预测性强和对初始种子敏感的特点。如果原始种子受损,CPRNG就暴露了。本文介绍了一种适用于密码学应用的PUF-CPRNG密钥生成方法。本研究中PUF的目的是产生一个安全的第一种子。提出的PUF-CPRNG包含动态刷新逻辑,以保证生成的随机数始终是正确的。与现有方法相比,本设计功耗降低37.5%[1]。
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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