Random Bit Generator Mechanism Based on Elliptic Curves and Secure Hash Function

O. Reyad, M. E. Karar, Kadry Hamed
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引用次数: 2

Abstract

Pseudorandom bit generators (PRBG) can be designed to take the advantage of some hard number theoretic problems such as the discrete logarithm problem (DLP). Such type of generators will have good randomness and unpredictability properties as it is so difficult to find an easy solution to the regarding mathematical dilemma. Hash functions in turn play a remarkable role in many cryptographic tasks to achieve various security strengths. In this paper, a pseudorandom bit generator mechanism that is based mainly on the elliptic curve discrete logarithm problem (ECDLP) and hash derivation function is proposed. The cryptographic hash functions are used in consuming applications that require various security strengths. In a good hash function, finding whatever the input that can be mapped to any pre-specified output is considered computationally infeasible. The obtained pseudorandom bits are tested with NIST statistical tests and it also could fulfill the up-to-date standards. Moreover, a $256 \times 256$ grayscale images are encrypted with the obtained pseudorandom bits following by necessary analysis of the cipher images for security prove.
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基于椭圆曲线和安全哈希函数的随机比特生成机制
伪随机位发生器(PRBG)可以设计成利用一些硬数论问题,如离散对数问题(DLP)。这种类型的生成器将具有良好的随机性和不可预测性,因为很难找到一个简单的解决方案来解决有关的数学困境。哈希函数反过来在许多加密任务中发挥着重要作用,以实现各种安全强度。提出了一种基于椭圆曲线离散对数问题(ECDLP)和哈希派生函数的伪随机比特生成机制。加密散列函数用于需要各种安全强度的消费应用程序。在一个好的哈希函数中,找到任何可以映射到任何预先指定的输出的输入被认为在计算上是不可行的。得到的伪随机比特经过NIST统计测试,也能满足最新的标准。此外,用得到的伪随机比特对256 × 256灰度图像进行加密,并对加密图像进行必要的分析以证明其安全性。
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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