论文标题
关于对物理不荡相函数的比特 - 阿方亚测量的信心
On the Confidence in Bit-Alias Measurement of Physical Unclonable Functions
论文作者
论文摘要
物理不荡情的功能（PUF）是现代的解决方案，可用于廉价且安全的钥匙存储。安全级别在很大程度上取决于PUF的不可预测性，如果PUF响应的某些位趋向于所有设备的相同价值，则会受到损害。在响应中，比特 - 阿里亚斯（Bit-Alias）在某个位置的概率的期望是这方面的最新指标。但是，从未考虑过比特 - 阿利亚的置信区间，这可能导致对PUF的不可预测性高估。此外，没有任何工具可以验证位alias是否在给定限制范围内。这项工作适应了将置信区间计算到位 - 阿里亚利亚的方法。它进一步提出了一个统计假设检验，以验证PUF设计是否符合给定的比特 - 阿里亚斯或位熵的规格。对几种已发表的PUF设计的应用展示了方法的功能。结果证明，当测试了PUF的不可预测性时，需要大量样品。所提出的方法是公开可用的，应在将来改善PUF的设计和评估。
Physical Unclonable Functions (PUFs) are modern solutions for cheap and secure key storage. The security level strongly depends on a PUF's unpredictability, which is impaired if certain bits of the PUF response tend towards the same value on all devices. The expectation for the probability of 1 at some position in the response, the Bit-Alias, is a state-of-the-art metric in this regard. However, the confidence interval of the Bit-Alias is never considered, which can lead to an overestimation of a PUF's unpredictability. Moreover, no tool is available to verify if the Bit-Alias is within given limits. This work adapts a method for the calculation of confidence intervals to Bit-Alias. It further proposes a statistical hypothesis test to verify if a PUF design meets given specifications on Bit-Alias or bit-wise entropy. Application to several published PUF designs demonstrates the methods' capabilities. The results prove the need for a high number of samples when the unpredictability of PUFs is tested. The proposed methods are publicly available and should improve the design and evaluation of PUFs in the future.
