Sep 2026· Advances in Materials· pp.
e75142
· 0 citations· 52 references
Medicine
Abstract
Microscopically engineered materials inherently harbor unique structural signatures arising from the stochastic fabrication. Physical unclonable functions (PUFs) exploit structural randomness to generate unique cryptographic responses, establishing hardware-based security. However, conventional PUF architectures rely on static configurations to guarantee authentication reproducibility, and the intrinsic rigidity permits unauthorized reverse-engineering without detectable traces. A tamper-responsive physical unclonable function (TR-PUF) platform is presented, integrating a high-entropy source with a reactive two-dimensional material interlayer to actively defend cryptographic keys. The entropy source relies on fingerprint-like nanopatterns derived from thermodynamic fluctuations during block copolymer self-assembly, while a reduced graphene oxide interlayer leverages out-of-plane chemical and mechanical sensitivity enabling device responsiveness to external intrusions. Systematic characterization confirms robust fundamental cryptographic performance, with near-ideal uniqueness and uniformity. Also, the tamper-responsive capability is demonstrated across three representative intrusion scenarios, where simulated high-resolution probing, chemical, or mechanical attempts to access the internal architecture trigger spontaneous and irreversible key invalidation via localized degradation. Furthermore, broad applicability is validated through rigorous environmental survivability assessment under low Earth orbit simulated conditions, alongside seamless integration across diverse form factors. The autonomous hardware protection framework opens possibilities for securing electronic components across next-generation hardware architectures in strategic fields like space missions and military applications.
The concealing of uniquely identifiable information is pertinent to both anti-counterfeiting and information security technologies. Current optical physically unclonable functions (PUFs) are based on static stochastic features that make them inherently vulnerable to undesired tampering. This study proposes wetting indu...
Ilker Torun, Cemile Janset Cakar, N. B. Kiremitler et al.· Small· 0 citations
Physically unclonable functions (PUFs) provide hardware‐rooted security by converting intrinsic material randomness into unique cryptographic fingerprints. However, most existing PUF systems rely on a single entropy source, limiting key capacity and adaptability for hierarchical authentication. Here, we report a hierar...
Jiayang Wang, Yu Wang, Jincheng Zhang et al.· Small Methods· 0 citations
By seamlessly embedding deterministic memory into an unclonable physical environment, this approach intrinsically eliminates the vulnerabilities of separated hardware, providing an unconditionally secure solid-state foundation for tamper-proof memory chips, zero-trust networks and next-generation data vaults.
With growing demand for secure information storage and authentication, integrating static physical fingerprints with dynamic rewritable information within a single carrier remains a challenge. This study proposes a multilevel anti-counterfeiting strategy based on biomimetic microtextured polymer hydrogels (MTPHs). Soft...
Jin-Yue Xie, Shi-Yu Deng, Fei Liang et al.· ACS Applied Materials and In...· 0 citations
The rapid development of the Internet of Things and artificial intelligence has sharply increased the demand for secure, low-cost, and scalable anticounterfeiting technologies. Physical unclonable functions (PUFs) offer intrinsic protection by converting stochastic material variations into unique identifiers, but their...
Ning Liu, Ye-Han Zeng, Ke-Jia You et al.· ACS Applied Materials and In...· 0 citations
ABSTRACT We propose a novel dual‐randomness framework that integrates physically unclonable functions (PUFs) and true random number generators (TRNGs) within a single nanomaterial platform. In contrast to conventional approaches that treat PUFs and TRNGs as separate entities, our platform integrates both entropy source...
Seung-Me Kang, Wang-Kug Choi, Jueun Lee et al.· Advancement of science· 0 citations
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