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Highly Reliable Physical Unclonable Functions using Memristor Crossbar with Tunneling Conduction

Jinwoo Park, Tae‐Hyeon Kim, Sungjoon Kim, Min Song, Sangwook Youn, Kyungho Hong, Byung‐Gook Park, Hyungjin Kim

20222022 International Electron Devices Meeting (IEDM)18 citationsDOI

Abstract

In this work, we present highly reliable operations of physical unclonable function (PUF) using the pristine state of Al <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> O <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</inf> /TiO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</inf> memristor crossbar arrays. The device stack is optimized in terms of stoichiometry and thickness to obtain temperature-independent $I-V$ properties. A strong PUF with a large $(\sim 10 ^{17})$ number of challenge-response pairs is demonstrated based on the crossbars, and the bit-error rate (BER) was experimentally verified less than 1% (0.896% at 80 °C) without correction methods thanks to tunneling conduction. In addition, the uniformity, diffuseness, and uniqueness of the PUF are evaluated ~50%, and its randomness is verified through both NIST tests and machine learning attacks, confirming robust security property.

Topics & Concepts

NISTQuantum tunnellingCrossbar switchMemristorAlgorithmRandomnessTopology (electrical circuits)Hash functionFunction (biology)Thermal conductionReliability (semiconductor)Computer sciencePhysicsElectrical engineeringOptoelectronicsMathematicsQuantum mechanicsEngineeringSpeech recognitionStatisticsTelecommunicationsComputer securityBiologyPower (physics)Evolutionary biologyAdvanced Memory and Neural ComputingPhysical Unclonable Functions (PUFs) and Hardware SecurityNeuroscience and Neural Engineering
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