A Novel Bi-functional Memory-PUF Module Utilizing Adjustable Switching Window of RRAM

Lin, Bohan; Gao, Bin; Pang, Yongqiang; Chen, Bing; Tang, Jianshi; Qian, He; Wu, Huaqiang

doi:10.1109/edtm47692.2020.9117813

Cited by 4 publications

(1 citation statement)

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“…In this work, a RRAM-based design of trifunctional module is proposed for the first time. Different from the bi-functional module proposed in [28], in this module, PUF, memory, and as well as TRNG function are integrated into one RRAM cell, contributing to a much more compact circuit. The PUF ID is generated through a twophase forming process and stored by the distinct memory window.…”

Section: Introductionmentioning

confidence: 99%

A Unified Memory and Hardware Security Module Based on the Adjustable Switching Window of Resistive Memory

Lin

Gao

Pang

et al. 2020

IEEE J. Electron Devices Soc.

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Physically unclonable function (PUF) and true random number generator (TRNG) are critical primitives to provide lightweight hardware protection. As area is tightly restricted in IoT applications, merging PUF and TRNG is a novel trend to achieve higher area efficiency. In this work, a novel tri-functional module is proposed and experimental demonstrated using RRAM for the first time. A two-phase forming process is designed to generate and store PUF ID utilizing the impact of different forming conditions on the switching window. As PUF ID is stored by the switching window, instead of a fixed resistance, PUF cells can be written to low resistance state and high resistance state as usual, and can be used as memory and TRNG. The inter-Hamming distance of the generated PUF IDs approaches 0.5, and with the majority voting readout strategy, low BER can be achieved in a wide range of temperatures from-40 o C to 125 o C. TRNG produces the true random numbers based on the parity of the number of pulses consumed in a write-zero process. The generated random numbers are uniform and uncorrelated after XORed, and the statistical randomness is verified by NIST SP800-22 tests.

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Section: Introductionmentioning

confidence: 99%