Serial Polar Automorphism Ensemble Decoders for Physical Unclonable Functions

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Rübenacke, Marvin, Cammerer, Sebastian, Sullivan, Michael, Keller, Alexander
Format: Preprint
Publié: 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866912640872218624
author Rübenacke, Marvin
Cammerer, Sebastian
Sullivan, Michael
Keller, Alexander
author_facet Rübenacke, Marvin
Cammerer, Sebastian
Sullivan, Michael
Keller, Alexander
contents Physical unclonable functions (PUFs) involve challenging practical applications of error-correcting codes (ECCs), requiring extremely low failure rates on the order of $10^{-6}$ and below despite raw input bit error rates as high as 22%. These requirements call for an efficient ultra-low rate code design. In this work, we propose a novel coding scheme tailored for PUFs based on Polar codes and a low-complexity version of automorphism ensemble decoding (AED). Notably, our serial AED scheme reuses a single successive cancellation (SC) decoder across multiple decoding attempts. By introducing cascaded and recursive interleavers, we efficiently scale the number of AED candidates without requiring expensive large multiplexers. An aggressive quantization strategy of only 3 bits per message further reduces the area requirements of the underlying SC decoder. The resulting coding scheme achieves the same block error rate of $10^{-6}$ as our baseline based on Bose-Ray-Chaudhuri-Hocquenghem (BCH) codes while requiring 1.75x fewer codeword bits to encode the same K = 312 payload bits. This reduction translates directly into 1.75x less helper data storage and, consequently, a smaller overall chip area.
format Preprint
id arxiv_https___arxiv_org_abs_2510_09220
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Serial Polar Automorphism Ensemble Decoders for Physical Unclonable Functions
Rübenacke, Marvin
Cammerer, Sebastian
Sullivan, Michael
Keller, Alexander
Information Theory
Signal Processing
Physical unclonable functions (PUFs) involve challenging practical applications of error-correcting codes (ECCs), requiring extremely low failure rates on the order of $10^{-6}$ and below despite raw input bit error rates as high as 22%. These requirements call for an efficient ultra-low rate code design. In this work, we propose a novel coding scheme tailored for PUFs based on Polar codes and a low-complexity version of automorphism ensemble decoding (AED). Notably, our serial AED scheme reuses a single successive cancellation (SC) decoder across multiple decoding attempts. By introducing cascaded and recursive interleavers, we efficiently scale the number of AED candidates without requiring expensive large multiplexers. An aggressive quantization strategy of only 3 bits per message further reduces the area requirements of the underlying SC decoder. The resulting coding scheme achieves the same block error rate of $10^{-6}$ as our baseline based on Bose-Ray-Chaudhuri-Hocquenghem (BCH) codes while requiring 1.75x fewer codeword bits to encode the same K = 312 payload bits. This reduction translates directly into 1.75x less helper data storage and, consequently, a smaller overall chip area.
title Serial Polar Automorphism Ensemble Decoders for Physical Unclonable Functions
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2510.09220