Microelectronics, Volume. 53, Issue 1, 36(2023)

A Reconfigurable Security Primitive Based on Entropy Source Separation Model

WANG Yanjie1, LIANG Huaguo1, SUN Kezhong1, YAO Liang1, JIANG Cuiyun2, YI Maoxiang1, and LU Yingchun1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    In the era of information explosion, the issues of information security are of broad concern. The physical unclonable function (PUF) and the true random number generator become the basic security primitives, providing a lightweight solution. An entropy source separation model is proposed in this paper, which can separate the delays caused by jitter (the entropy of the true random number generator) and process deviation (PUF entropy) in a ring oscillator. A reconfigurable dual-mode circuit on FPGA was designed, which could reconfigure the PUF circuit into a true random number generator circuit by changing the mode. The proposed structure has the advantages of small resource overhead, large area utilization and low power consumption. The experimental results show that the PUF generated by the proposed structure has excellent performance in stability, uniqueness, and uniformity. The true random numbers generated by the proposed structure have high randomness and unpredictability. In addition, all true random numbers have passed the NIST test.

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    WANG Yanjie, LIANG Huaguo, SUN Kezhong, YAO Liang, JIANG Cuiyun, YI Maoxiang, LU Yingchun. A Reconfigurable Security Primitive Based on Entropy Source Separation Model[J]. Microelectronics, 2023, 53(1): 36

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    Paper Information

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    Received: Jan. 11, 2022

    Accepted: --

    Published Online: Dec. 15, 2023

    The Author Email:

    DOI:10.13911/j.cnki.1004-3365.220015

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