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A true random number generator based on hyperchaos and digital sound

机译:基于超混沌和数字声音的真正随机数生成器

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True random number generators (TRNG) play an important role in many fields that require unpredictable and nondeterministic random number sequences. Unlike their pseudorandom counterparts, TRNGs are more computationally expensive as they need to harvest entropy from physical phenomena. To generate high quality true random numbers at a fast rate, this paper introduces a new TRNG based on hyperchaos and digital sound. The characteristics of a hyperchaotic map such as sensitivity to initial conditions and complex behavior amplifies noise obtained by sampling environmental sound through a computer microphone. The random numbers generated are then evaluated using statistical test suites such as NIST SP 800-22, DIEHARD and ENT. Because nondeterminism cannot be proved by merely running test suites, entropy analysis is performed to determine the unpredictability of these sequences. Results show that the proposed TRNG can generate true random numbers at a high rate while maintaining strong statistical quality. In addition, the entropy source requires only an inexpensive computer microphone which is already built into many laptops and handheld devices. Therefore, the proposed generator provides a low-cost and easily obtainable option for applications that require true random numbers.
机译:真随机数生成器(TRNG)在需要不可预测且不确定的随机数序列的许多领域中发挥着重要作用。与伪随机对应物不同,TRNG的计算量更大,因为它们需要从物理现象中收集熵。为了快速生成高质量的真实随机数,本文介绍了一种基于超混沌和数字声音的新型TRNG。超混沌映射的特征(例如对初始条件的敏感性和复杂行为)会放大通过计算机麦克风对环境声音进行采样而获得的噪声。然后使用统计测试套件(例如NIST SP 800-22,DIEHARD和ENT)评估生成的随机数。因为不能仅通过运行测试套件来证明不确定性,所以执行熵分析来确定这些序列的不可预测性。结果表明,提出的TRNG可以在保持强大的统计质量的同时,以很高的速率生成真实的随机数。此外,熵源仅需要一个廉价的计算机麦克风,该麦克风已经内置在许多笔记本电脑和手持设备中。因此,提出的生成器为需要真随机数的应用提供了一种低成本且易于获得的选择。

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