A Physical Unclonable Function with Redox-based Nanoionic Resistive Memory
Jeeson Kim, Taimur Ahmed, Hussein Nili, Jiawei Yang, Doo Seok Jeong,, Paul Beckett, Sharath Sriram, Damith C. Ranasinghe, Omid Kavehei

TL;DR
This paper introduces a novel resistive memory-based physically unclonable function (PUF) leveraging the stochastic and nonlinear characteristics of redox-based ReRAM, demonstrating high reliability and uniqueness for security applications.
Contribution
It presents the design and experimental validation of a nonlinear resistive PUF using VCM-based ReRAM, combining architectural innovations to exploit inherent device variability.
Findings
Achieved 98.67% reliability in PUF responses
Demonstrated high uniqueness and diffuseness (~50%)
Validated performance across multiple dies and runs
Abstract
A unique set of characteristics are packed in emerging nonvolatile reduction-oxidation (redox)-based resistive switching memories (ReRAMs) such as their underlying stochastic switching processes alongside their intrinsic highly nonlinear current-voltage characteristic, which in addition to known nano-fabrication process variation make them a promising candidate for the next generation of low-cost, low-power, tiny and secure Physically Unclonable Functions (PUFs). This paper takes advantage of this otherwise disadvantageous ReRAM feature using a combination of novel architectural and peripheral circuitry. We present a physical one-way function, nonlinear resistive Physical Unclonable Function (nrPUF), potentially applicable in variety of cyber-physical security applications given its performance characteristics. We experimentally verified performance of Valency Change Mechanism…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Physical Unclonable Functions (PUFs) and Hardware Security · Neuroscience and Neural Engineering
