Secure Storage and Identification Using Quantum PUF

Physical Unclonable Functions (PUFs) have emerged as a powerful cryptographic tool for various applications due to their inherent physical uniqueness and unclonability. However, the advent of quantum computers has posed significant threats to classical PUFs. In response, Quantum PUFs (QPUFs), which exploit the principles of quantum mechanics, have been introduced as a robust alternative. This paper analyzes two key applications of QPUFs utilizing their distinctive output: secure storage and identification, from an information theoretic perspective. We establish achievability under different constraints and derive the secure storage capacity and a doubly exponential identification rate, even in the presence of an active adversary attempting to deceive the system by exploiting publicly stored data. We further demonstrate that within the quantum domain, we achieve higher rates compared to classical counterparts.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11160793
Citations
6
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
13.62
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article

Secure Storage and Identification Using Quantum PUF

Holger Boche, Christian Deppe, Kumar Nilesh
6 citations
Physical Unclonable Functions (PUFs) and Hardware Security
13.62
article

Secure Storage and Identification Using Quantum PUF

Holger Boche, Christian Deppe, Kumar Nilesh
article en
6 citations

Abstract

Physical Unclonable Functions (PUFs) have emerged as a powerful cryptographic tool for various applications due to their inherent physical uniqueness and unclonability. However, the advent of quantum computers has posed significant threats to classical PUFs. In response, Quantum PUFs (QPUFs), which exploit the principles of quantum mechanics, have been introduced as a robust alternative. This paper analyzes two key applications of QPUFs utilizing their distinctive output: secure storage and identification, from an information theoretic perspective. We establish achievability under different constraints and derive the secure storage capacity and a doubly exponential identification rate, even in the presence of an active adversary attempting to deceive the system by exploiting publicly stored data. We further demonstrate that within the quantum domain, we achieve higher rates compared to classical counterparts.

Technical University of Munich (DE), Technische Universität Braunschweig (DE)
Openalex Percentile: Top 1%
Physical Unclonable Functions (PUFs) and Hardware Security
13.62
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