基于stt - mtj的实时温度/电流变化补偿TRNG

E. Vatajelu, G. D. Natale, P. Prinetto
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引用次数: 11

摘要

硬件真随机数生成器(TRNG)从物理进程产生随机数。传统上,这样的设备是基于统计随机信号,如热噪声或其他量子现象。在本文中,我们提出了一种创新的TRNG设计,使用自旋传递扭矩磁隧道结(STT-MTJ)器件。我们利用了MTJ器件开关的随机特性,并进行了实时温度/电流变化补偿。结果表明,该方法能够紧跟环境变化,并以高概率生成随机序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
STT-MTJ-based TRNG with on-the-fly temperature/current variation compensation
A hardware True Random Number Generator (TRNG) yields random numbers from a physical process. Traditionally, such devices are based on statistically random signals such as thermal noise or other quantum phenomena. In this paper we propose an innovative TRNG design using a Spin Transfer Torque Magnetic Tunnel Junction (STT-MTJ) device. We exploit the stochastic nature of the MTJ device switching, and perform on-the-fly temperature/current variation compensation. We show that the proposed solution keeps up with environmental changes and generates random sequences with high probability.
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