基于敏感度混淆机制的控制型物理不可克隆函数研究

为了克服物理不可克隆函数(PUF)面对建模攻击的脆弱性，该文提出一种基于敏感度混淆机制的控制型PUF架构。根据PUF的布尔函数定义及Walsh谱理论，推导出各个激励位具有不同敏感度，分析并归纳了与混淆值位宽奇偶性有关的位置选取规则。利用该规则指导了多位宽混淆算法(MWCA)的设计，构建了具有高安全性的控制型PUF架构。将基础PUF结构作为控制型PUF的防护对象进行实验评估，发现基于敏感度混淆机制的控制型PUF所产生的响应具有较好的随机性。采用逻辑回归算法对不同PUF结构进行建模攻击，实验结果表明，相比基本ROPUF、仲裁器PUF以及基于随机混淆机制的OB-PUF，基于敏感度混淆机制的控制型PUF能够显著提高PUF的抗建模攻击能力。

Controlled Physical Unclonable Function Research Based on Sensitivity Confusion Mechanism

In order to overcome the vulnerability of Physical Unclonable Function (PUF) to modeling attacks, a controlled PUF architecture based on sensitivity confusion mechanism is proposed. According to the Boolean function definition of PUF and Walsh spectrum theory, it is derived that each excitation bit has different sensitivity, and the position selection rules related to the parity of the confound value bit width are analyzed and summarized. This rule guides the design of the Multi-bit Wide Confusion Algorithm (MWCA) and constructs a controlled PUF architecture with high security. The basic PUF structure is evaluated as a protective object of the controlled PUF. It is found that the response generated by the controlled PUF based on the sensitivity confusion mechanism has better randomness. Logistic regression algorithm is used to model different PUF attack. The experimental results show that compared with the basic ROPUF, the arbiter PUF and the OB-PUF based on the random confusion mechanism, the controlled PUF based on the sensitivity confusion mechanism can significantly improve the PUF resistance capabilities for modeling attack.