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Video s3
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    Presenter(s)
    Xianwu Hu Headshot
    Display Name
    Xianwu Hu
    Affiliation
    Affiliation
    Fudan University
    Country
    Author(s)
    Display Name
    Xianwu Hu
    Affiliation
    Affiliation
    Fudan University
    Display Name
    Yu Wang
    Affiliation
    Affiliation
    Tianjin University
    Display Name
    Jiayun Feng
    Affiliation
    Affiliation
    Fudan University
    Display Name
    Zizhao Ma
    Affiliation
    Affiliation
    Fudan University
    Display Name
    Xiaoyang Zeng
    Affiliation
    Affiliation
    Fudan University
    Display Name
    Yufeng Xie
    Affiliation
    Affiliation
    Fudan University
    Abstract

    We propose a RRAM-based strong PUF with high area-efficiency and excellent MLA resistant ability. The switching randomness property and the resistance distribution property of RRAM are fully extracted as entropy source. A reconfigurable PUF structure is proposed to gain super exponential growth CRP space. A double XOR process is adopted to further enhance the ability against MLA with small area-overhead. Experimental results show excellent PUF metrics including intra-HD of 1.93%, inter-HD of 49.95%, uniformity of 49.02%. The whole CRP generation process takes 1.8us. Therefore, the proposed strong PUF is a promising candidate for IoT security authentication fields.

    Slides
    • A High Area-Efficiency RRAM-Based Strong PUF with Multi-Entropy Source and Configurable Double-Read Process (application/pdf)