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True Random Number Generation From Commodity NVM Chips

机译:商品NVM芯片的真实随机数生成

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In this article, we propose a novel technique to generate true random numbers (TRNs) using off-the-shelf non-volatile memory (NVM) chips. In particular, we illustrate a TRN generator (TRNG) extraction methodology from two types of NVM technologies: 1) emerging resistive NVM, and 2) charge-based NOR flash. We exploit the variability in programming latency while performing write and erase operations. The main causes of such effects can be attributed to the switching-time variability of the NVM devices and second-order effects, such as peripheral CMOS variability and circuit parasitics. Through multiple experiments, we show that dominant variability contribution arises from NVM switching-time distributions. In order to increase the quality of randomness, we propose an XOR-based post-processing technique. In the proposed methodology, latency values are first extracted from multiple locations on the chip followed by the application of post-processing technique. The randomness of the generated bitstream is evaluated using NIST SP 800-22 statistical test suite, and all the 15 tests are passed with encouraging P-values. We validated the proposed NVM-based TRNG for a wide range of operational temperatures (-40 degrees C to +85 degrees C). Utilization of the existing NVM chips and no requirement of additional specialized hardware make the proposed TRNG technique highly advantageous and cost-effective.
机译:在本文中,我们提出了一种新颖的技术,用于使用现成的非易失性存储器(NVM)芯片生成真正随机数(TRNS)。特别地,我们说明了来自两种类型的NVM技术的TRN发生器(TRNG)提取方法:1)出现电阻NVM,2)基于电荷的NOR闪光。我们在执行编写和擦除操作时利用编程延迟的可变性。这种效果的主要原因可归因于NVM器件的开关时间可变性和二阶效应,例如外围CMOS可变性和电路寄生。通过多个实验,我们表明,主导可变性贡献来自NVM切换时间分布。为了提高随机性的质量,我们提出了一种基于XOR的后处理技术。在所提出的方法中,首先从芯片上的多个位置提取延迟值,然后应用后处理技术。使用NIST SP 800-22统计测试套件评估生成比特流的随机性,所有15个测试都通过令人鼓舞的P值传递。我们验证了基于NVM的基于NVM的TRNG,各种操作温度(-40°C至+85℃)。利用现有的NVM芯片,不需要额外的专业硬件,使得提出的TRNG技术具有非常有利且经济效益。

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