Study on the Physical Unclonable Function of the Reliable Information Entropy Extracted by the Frequency Characteristic of Oscillating Ring
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摘要:
针对传统物理不可克隆函数(PUF)产生信息熵少、易受环境因素干扰等问题，该文设计一种产生多位稳定信息熵的PUF方案。该方案通过对FPGA上环形震荡器所产生频率数据的分析，从每个震荡环中提取能够代表震荡环特性的特征位作为信息熵。通过对逆变器温度特性的研究，利用电流饥饿逆变器和常规逆变器组成新的震荡环来降低温度对产生的信息熵的可靠性的影响。通过Cadence IC仿真和进行赛灵思zynq 7000系列FPGA开发平台上的实验，结果表明改进的PUF结构使用相同数量的震荡环产生更多的信息熵，并且其可靠性、唯一性均得到提升。
Abstract:Considering the problem of information entropy being low and easily disturbed by environmental factors in the traditional Physical Unclonable Function (PUF), a PUF scheme is designed to generate multiple stable information entropy. By analyzing the frequency data generated by the ring oscillator on the FPGA, the feature bits representing the characteristics of the ring are extracted from each ring as information entropy. By studying the temperature characteristics of the inverter, a new oscillating ring is formed by the current hungry inverter and the conventional inverter to reduce the influence of temperature on the reliability of the generated information entropy. Through Cadence IC simulation and experiments on zynq7000 series FPGA development platform, the results show that the improved PUF structure can generate more information entropy with the same number of oscillatory rings, and its reliability and uniqueness are improved.
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Key words:
- FPGA /
- Physically Unclonable Function (PUF) /
- Ring oscillator /
- Information entropy /
- Inverter
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表 1 预选区域性能指标
预选区域 (13, 17) (14, 17) (15, 17) (16, 17) (13, 16) (14, 16) (15, 16) (13, 15) (14, 15) ${S_{{\rm{puf}}}}$ 0.963 0.989 0.986 0.991 0.974 0.982 0.990 0.979 0.981 ${U_{_{{\rm{puf}}}}}$ 0.474 0.492 0.488 0.489 0.482 0.486 0.485 0.487 0.491 ${R_{_{{\rm{puf}}}}}$ 0.464 0.474 0.485 0.476 0.478 0.489 0.481 0.492 0.486 ${V_{_{{\rm{puf}}}}}$ 0.719 0.741 0.737 0.740 0.728 0.734 0.738 0.733 0.736 
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