Performance Analysis for PUF Data Using Fuzzy Extractor
Performance Analysis for PUF Data Using Fuzzy Extractor
复制标题
使用模糊提取器对 PUF 数据进行性能分析
DOI：
10.1007/978-3-642-41671-2_36
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Keiichi Iwamura
中科院分区：
文献类型：
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作者：
Hyunho Kang;Y. Hori;T. Katashita;M. Hagiwara;Keiichi Iwamura
从噪声数据中提取稳定信号在旨在将其与密钥联合收割机组合的应用中非常有用。Dodis等人提出了一种基于纠错码的方法，它被称为模糊提取器。物理不可克隆功能（PUF）生成设备特定的数据流，尽管PUF是噪声功能。在本文中，我们描述了一种方法，在模糊提取器的实现过程中准备一个PUF密钥。实验结果表明，输入消息长度和可纠正错误的数量的所有可能的组合进行了测试的BCH码的码字长度为N，这是PUF响应的长度。
The extraction of a stable signal from noisy data is very useful in applications that aim to combine it with a cryptographic key. An approach based on an error correcting code was proposed by Dodis et al., which is known as a fuzzy extractor. Physical unclonable functions (PUFs) generate device-specific data streams, although PUFs are noisy functions. In this paper, we describe a method for preparing a PUF key during fuzzy extractor implementation. The experimental results showed that all possible combinations of input message length and the number of correctable errors were tested for a BCH code with codeword length N, which was the length of the PUF responses.