基于自定时环的真随机数生成器:威胁模型和对策

Gregoire Gimenez, A. Cherkaoui, Raphael Frisch, L. Fesquet
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引用次数: 5

摘要

基于自定时环的真随机发生器(strng)从自定时环振荡器中均匀传播的事件抖动中提取随机性。这种发电机的安全性主要基于熵评估:每个输出位最小熵的精确模型以及噪声源的物理测量。通过熵源监测和输出位的在线测试,这种评估得到了加强。本文讨论了字符串的安全性。首先,我们识别生成器上的潜在漏洞并定义威胁模型。基于该威胁模型,我们分析了主动攻击在模拟仿真中的影响(在55纳米技术中),并通过在高级仿真模型中对其进行仿真。然后,我们提出了简单有效的对策来阻止针对生成器的攻击。最后,我们评估攻击前后的输出序列,以验证所提出的对策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-timed Ring based True Random Number Generator: Threat model and countermeasures
Self-timed Ring based True Random Generators (STRNGs) extract randomness from the jitter of events evenly propagating in a Self-Timed Ring (STR) oscillator. Security of such generators is primarily based on an entropy assessment: an accurate model of the minimum entropy per output bit with physical measurement of the noise source. This assessment is reinforced with both entropy source monitoring and online testing of the output bits. This paper addresses the security of the STRNG. First we identify potential vulnerabilities on the generator and define a threat model. Based on this threat model, we analyze the effect of active attacks in analog simulations (in a 55 nm technology), and by emulating them in a high-level simulation model. Then, we propose simple and efficient countermeasures to thwart attacks focusing on the generator. Finally, we evaluate the output sequences before and after attacks to validate the proposed countermeasures.
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