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  4. CNT-PUFs: Highly Robust Physical Unclonable Functions Based on Carbon Nanotubes
 
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2023
Conference Paper
Title

CNT-PUFs: Highly Robust Physical Unclonable Functions Based on Carbon Nanotubes

Abstract
In this work, we explore a highly robust and unique Physical Unclonable Function (PUF) based on the stochastic assembly of single-walled Carbon NanoTubes (CNTs) integrated by a cost-efficient printing approach on 200mm silicon wafers. PUFs are hardware security primitives that leverage small physical variations to generate device fingerprints that are hard to simulate or clone. Our work demonstrates exceptionally robust CNT-based PUFs exhibiting a highly uniform distribution of 53.8% 0s and 46.2% 1s with an average fractional intra-device Hamming distance (ℋDintra) of 0.01. For the first time, ℋDintra was calculated from over 28 cyclic electrical measurement sequences for 144-bit PUFs consisting of passivated CNT field-effect transistors. Moreover, we present a broad stability window for the threshold defining the PUF response. It is based on the clearly distinguishable states of the encapsulated PUF cells, leading to fully stable hardware-stored binary keys.
Author(s)
Böttger, Simon
Technische Universität Chemnitz
Frank, Florian
Universität Passau
Anagnostopoulos, Nikolaos Athanasios
Universität Passau
Mohamed, Ali Wagdy
Technische Universität Chemnitz
Hartmann, Martin
Technische Universität Chemnitz
Arul, Tolga
Universität Passau
Hermann, Sascha  
Fraunhofer-Institut für Elektronische Nanosysteme ENAS  
Katzenbeißer, Stefan
Universität Passau
Mainwork
Proceedings of the IEEE Conference on Nanotechnology
Funder
Deutsche Forschungsgemeinschaft  
Conference
23rd IEEE International Conference on Nanotechnology, NANO 2023
DOI
10.1109/NANO58406.2023.10231160
Language
English
Fraunhofer-Institut für Elektronische Nanosysteme ENAS  
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