轻量级可配置强物理不可克隆函数设计  

Design of Lightweight and Configurable Strong Physical Unclonable Function

作　　者：侯申[1,2] 李景龙 刘海龙 李少青[1] 郭阳[1] Hou Shen;Li Jinglong;Liu Hailong;Li Shaoqing;Guo Yang(School of Computer,National University of Defense Technology,Changsha 410073;Luoyang Campus,Information Engineering University,Luoyang 471003)

机构地区：[1]国防科技大学计算机学院,长沙410073 [2]信息工程大学洛阳校区,洛阳471003

出　　处：《计算机辅助设计与图形学学报》2021年第10期1627-1634,共8页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(61832018).

摘　　要：为了解决物理不可克隆函数(PUF)结构简单、容易遭受建模攻击等问题,提出一种基于动态线性反馈移位寄存器(LFSR)的强PUF抗攻击混淆设计.首先使用一个固定结构的LFSR作为伪随机数发生器,为混淆逻辑提供随机选择信号;然后使用一个内置多个反馈多项式的动态LFSR作为混淆逻辑,对输入激励进行混淆;最后将混淆后的激励输入内嵌PUF电路,使攻击者无法获取内嵌PUF的真实激励,从而提高PUF的抗建模攻击能力.用Python和FPGA进行了仿真和数据收集,在收集到数据集上的实验表明,所提设计具有接近理想值的均匀性(49.8%)和唯一性(49.9%),保持了与经典强PUF相同的可靠性.该设计结构简单,硬件开销较低,能够抵抗多种主流机器学习和深度学习算法的建模攻击.To solve the problem that the physical unclonable function(PUF)structure is simple and vulnerable to modeling attacks,a strong PUF anti-attack obfuscation design based on linear feedback shift register(LFSR)is proposed.First,a fixed structure LFSR is used as a pseudo-random number generator to provide a random selection signal for the obfuscation logic.Then,a dynamic LFSR with multiple feedback polynomials is used as the obfuscation logic to obfuscate origin challenges.Finally,obfuscated challenges are loaded into the em-bedded PUF circuit so that the attacker cannot obtain real challenges.It improves the resistance of the PUF to modeling attacks.The proposed design is simulated by Python and FPGA.Experiments on the collected dataset show that the proposed PUF has ideal uniformity(49.8%)and uniqueness(49.9%)and keeps the same reliabil-ity.It has simple architecture and low hardware overhead and can resist a variety of modeling attacks including machine learning and deep learning.

关 键 词：物理不可克隆函数 仲裁器物理不可克隆函数 动态线性反馈移位寄存器 机器学习 建模攻击 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]