Electrical Physically Unclonable Function via Stochastic-Defect-Driven Invisible Current Pathways

With the growing demand for secure authentication in IoT and other resource-constrained environments, Physically Unclonable Functions (PUFs) have gained attention as an appealing approach that leverages intrinsic device randomness. Recently, helper data and error-correction systems have been widely adopted to compensate for the limited intrinsic stability of device fingerprints. In contrast, the breakdown (B.D.) fingerprint introduced in this work demonstrates a robust and lightweight PUF platform that operates without any such compensation. Despite the uniformity of Atomic Layer Deposition (ALD)-grown amorphous HfO2, intrinsic film and interface defects generate subtle stochastic variations in insulation, which─under our tailored key-generation scheme─can be reliably binarized through the breakdown process, yielding a perfectly balanced bit uniformity of 0.5. Intra/interdevice Hamming distances (HD) converge to 0 and 0.5, and correlation-coefficient analysis further verifies the high entropy of the generated security code. Moreover, the device exhibits excellent electrical retention and thermal stability over a wide operating range from +20 to 150 °C. These characteristics collectively enable a wide and reliable authentication threshold margin, maintaining stable performance under temperature variation, device aging, and operational noise. In conclusion, the proposed B.D. fingerprint provides robust and lightweight device identities with a broad authentication window.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-05-27
DOI
https://doi.org/10.1021/acsami.6c05829
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
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article

Electrical Physically Unclonable Function via Stochastic-Defect-Driven Invisible Current Pathways

Junsu Kim, Seonghoon Jeong, Changgyun Moon, Joo‐On Oh et al.
ACS Applied Materials & Interfaces
Physical Unclonable Functions (PUFs) and Hardware Security
article

Electrical Physically Unclonable Function via Stochastic-Defect-Driven Invisible Current Pathways

Junsu Kim, Seonghoon Jeong, Changgyun Moon, Joo‐On Oh, Myat Thet Khine, Sunkook Kim, Yanji Piao, Srinivas Gandla
article en

Abstract

With the growing demand for secure authentication in IoT and other resource-constrained environments, Physically Unclonable Functions (PUFs) have gained attention as an appealing approach that leverages intrinsic device randomness. Recently, helper data and error-correction systems have been widely adopted to compensate for the limited intrinsic stability of device fingerprints. In contrast, the breakdown (B.D.) fingerprint introduced in this work demonstrates a robust and lightweight PUF platform that operates without any such compensation. Despite the uniformity of Atomic Layer Deposition (ALD)-grown amorphous HfO2, intrinsic film and interface defects generate subtle stochastic variations in insulation, which─under our tailored key-generation scheme─can be reliably binarized through the breakdown process, yielding a perfectly balanced bit uniformity of 0.5. Intra/interdevice Hamming distances (HD) converge to 0 and 0.5, and correlation-coefficient analysis further verifies the high entropy of the generated security code. Moreover, the device exhibits excellent electrical retention and thermal stability over a wide operating range from +20 to 150 °C. These characteristics collectively enable a wide and reliable authentication threshold margin, maintaining stable performance under temperature variation, device aging, and operational noise. In conclusion, the proposed B.D. fingerprint provides robust and lightweight device identities with a broad authentication window.

ACS Applied Materials & Interfaces
National Institute of Technology Warangal (IN), Sungkyunkwan University (KR)
Affordable and clean energy
Openalex Percentile: Top 3%
Physical Unclonable Functions (PUFs) and Hardware Security
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