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Hash functions-based random number generator with image data source

机译:基于哈希函数的带有图像数据源的随机数生成器

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In modern cryptosystems, real random numbers play critical roles in most key management systems to make sure that the generated key is able to provide high level of security in order to protect the sensitive information and assets in highly secured information systems. One of the main challenges in generating random values is the needs for special noisy source such as nuclear decay, brownian motion, analog circuit and quantum mechanics for producing the random values. Beside the cost, complexity and difficulty of using these special noisy sources as the source of random number generator, there is also the need for additional hardware devices to communicate with these sources. In this paper, we proposed an inexpensive and less complicated method to generate true random values without any need for especial noisy sources. We explain how we use hash functions in combining two data extractors to transform normal image data and make it suitable as the source of random number generator.
机译:在现代密码系统中,实际随机数在大多数密钥管理系统中起着至关重要的作用,以确保生成的密钥能够提供高级别的安全性,以保护高度安全的信息系统中的敏感信息和资产。产生随机值的主要挑战之一是需要特殊的噪声源,例如核衰变,布朗运动,模拟电路和量子力学,以产生随机值。除了使用这些特殊的噪声源作为随机数生成器的源的成本,复杂性和困难之外,还需要其他硬件设备与这些源进行通信。在本文中,我们提出了一种廉价且不太复杂的方法来生成真正的随机值,而无需任何特殊的噪声源。我们解释了如何在组合两个数据提取器时使用哈希函数来转换普通图像数据,并使其适合用作随机数生成器。

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