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A guide to graceful aging: How not to overindulge in post-silicon burn-in for enhancing reliability of weak PUF

机译:优雅衰老的指南:如何在硅后烧伤时如何过度释放,以提高弱PUF的可靠性

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SRAM-based Weak PUFs have become popular in tamper sensitive key storage and device ID generation. Weak PUFs rely on intrinsic process variations to produce repeatable and unique start-up behavior. However, noise in the system compromises repeatability of SRAM start-up behavior. To obviate this problem, a number of solutions such as fuzzy extraction and error correcting codes have been proposed to generate a stable key from error-prone PUF cells. Unfortunately, the overhead from these techniques grows superlinearly with increasing error rate. Recently, it was suggested that the start-up error rate can be reduced significantly by accelerating device aging, which leads to reduced overhead for error correction. To accelerate aging, devices are subjected to temperature and voltage stress in a burn-in chamber. Unfortunately, burn-in accrues significant production cost. In this paper, we present a method to reduce the cumulative burn-in time by quantifying the minimum burn-in requirement for each device. We propose a low-cost proxy to measure the degree of process variation of each device at birth and use previously proposed device aging model to determine the burn-in requirements. Our results show that this procedure reduces cumulative burn-in cost without compromising the resultant reliability of Weak PUFs.
机译:基于SRAM的弱PUF在篡改敏感密钥存储和设备ID生成中变得流行。弱PUFS依赖于内在的过程变化,以产生可重复和独特的启动行为。但是,系统中的噪声会影响SRAM启动行为的可重复性。为了避免这个问题,已经提出了许多诸如模糊提取和纠错码的解决方案,以产生来自易于易于易受误差的PUF细胞的稳定键。不幸的是,这些技术的开销随着误差率的增加而超短。最近,建议通过加速设备老化可以显着降低启动错误率,这导致纠错减少开销。为了加速老化,器件经受燃烧室中的温度和电压应力。不幸的是,燃烧的累积显着的生产成本。在本文中,我们介绍了一种通过量化每个设备的最小燃烧要求来减少累积燃烧时间的方法。我们提出了一种低成本的代理,可以在出生时测量每个设备的过程变化程度,并使用先前提出的设备老化模型来确定燃烧要求。我们的结果表明,该程序降低了累积燃烧成本,而不会影响弱PUF的可靠性。

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