Quantum Well-Based Physical Unclonable Functions for IoT Device Attestation

Internet of Things (IoT) peripheral devices typically operate in resource-constrained environments and platform enclosures. This poses challenges when attempting to secure data traffic between operators and field devices. Due to the resource-intensive nature and/or stringent (e.g., connectivity) requirements of current encryption techniques, many prove infeasible to use within an IoT Edge network. In this work, we have developed a hardware-based attestation and authentication solution for IoT devices operating within constrained Edge environments where compute resource can be scarce, connectivity intermittent, environmental conditions uncontrolled, and accessibility limited. This is achieved through the use of an array of Resonant Tunneling Diodes (RTDs) that facilitate the generation of a ’strong’ Physical Unclonable Function (PUF) from a limited number of RTDs, reducing the device footprint and resource requirements. Comprehensive statistical analysis of the response of the array to external excitation has shown that the proposed RTD-based PUF can produce a suitably random, yet repeatable, and most importantly unclonable response to a given challenge. Thus, demonstrating the validity of the proposed solution for use within key generation or device authentication of assets within the IoT network.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3583881
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantum Well-Based Physical Unclonable Functions for IoT Device Attestation

Chris Williamson, Dimitrios P. Pezaros, Kyle A. Simpson, Douglas J. Paul
IEEE Access
Physical Unclonable Functions (PUFs) and Hardware Security
article

Quantum Well-Based Physical Unclonable Functions for IoT Device Attestation

Chris Williamson, Dimitrios P. Pezaros, Kyle A. Simpson, Douglas J. Paul
article en

Abstract

Internet of Things (IoT) peripheral devices typically operate in resource-constrained environments and platform enclosures. This poses challenges when attempting to secure data traffic between operators and field devices. Due to the resource-intensive nature and/or stringent (e.g., connectivity) requirements of current encryption techniques, many prove infeasible to use within an IoT Edge network. In this work, we have developed a hardware-based attestation and authentication solution for IoT devices operating within constrained Edge environments where compute resource can be scarce, connectivity intermittent, environmental conditions uncontrolled, and accessibility limited. This is achieved through the use of an array of Resonant Tunneling Diodes (RTDs) that facilitate the generation of a ’strong’ Physical Unclonable Function (PUF) from a limited number of RTDs, reducing the device footprint and resource requirements. Comprehensive statistical analysis of the response of the array to external excitation has shown that the proposed RTD-based PUF can produce a suitably random, yet repeatable, and most importantly unclonable response to a given challenge. Thus, demonstrating the validity of the proposed solution for use within key generation or device authentication of assets within the IoT network.

IEEE AccessVol. 13
University of Glasgow (GB)
Royal Academy of Engineering, Defence Science and Technology Laboratory, EDF Energy, Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 85%
Physical Unclonable Functions (PUFs) and Hardware Security
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