Electromagnetic Noise as Entropy Source for Cryptographic System

J. Nemec, S. Kovár, Iva Kavankova, Jan Valouch
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Abstract

This paper presents a system for gathering electromagnetic noise to extract surrounding entropy at 430 MHz. The uniqueness of electromagnetic noise depends on geographical location, time, used technology, and a plethora of other variables. The proposed system consisting of telescopic whip antenna and software defined radio HackRF One takes advantage of the said fact to extract entropy and transform it into a random number which could be then used in cryptography. Said system is supposed to be low-cost and made from generally available equipment to ensure usability for the general population. Three experiments were devised to transform received noise into random numbers. The first experiment extracts entropy from the time domain by averaging the magnitude of the signal and comparing it to magnitude. The second experiment uses Fast Fourier Transformation to obtain the frequency composition of the received signal and extracts entropy out of magnitude of different frequencies. The last experiment combines the two through logical operation XOR to gain the random number. Obtained random numbers are then tested for randomness by checking entropy, monobit test from NIST standard, and proportion of logic ones and zeroes in the sequence.
电磁噪声作为密码系统的熵源
提出了一种用于430 MHz频段电磁噪声采集提取周围熵的系统。电磁噪声的独特性取决于地理位置、时间、使用的技术和大量其他变量。所提出的系统由伸缩鞭状天线和软件定义无线电HackRF One组成,利用上述事实提取熵并将其转换为可用于密码学的随机数。所述系统应该是低成本的,并且由一般可用的设备制成,以确保一般人群的可用性。设计了三个实验将接收到的噪声转换成随机数。第一个实验通过对信号的幅值取平均值并与幅值进行比较,从时域中提取熵。第二个实验采用快速傅立叶变换得到接收信号的频率组成,并从不同频率的幅值中提取熵。最后一个实验通过逻辑运算异或将两者结合,得到随机数。然后通过检查熵、NIST标准的单比特测试以及序列中逻辑1和0的比例来测试获得的随机数的随机性。
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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