Evidence map›Paper›PMID 42796159›Full record

ReviewMicromachines2026

Research on Memristors in Hardware Security.

Zihan Zhong, Chenqi Dai, Guangfu Luo, Yaoyao Jin, Xuenan Peng, Tao Wang, Shuai Zhang, Cong Ye

Abstract readReview
In one paragraph

Review in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zihan ZhongInternational School of Integrated Circuit, Dongguan University of Technology, Dongguan 523000, China.ORCID 0009-0002-5842-2460
Chenqi DaiInternational School of Integrated Circuit, Dongguan University of Technology, Dongguan 523000, China.
Guangfu LuoInternational School of Integrated Circuit, Dongguan University of Technology, Dongguan 523000, China.
Yaoyao JinKey Laboratory of Intelligent Sensing System and Security of the Ministry of Education, School of Microelectronics, Hubei University, Wuhan 430062, China.
Xuenan PengInternational School of Integrated Circuit, Dongguan University of Technology, Dongguan 523000, China.
Tao WangInternational School of Integrated Circuit, Dongguan University of Technology, Dongguan 523000, China.
Shuai ZhangInternational School of Integrated Circuit, Dongguan University of Technology, Dongguan 523000, China.ORCID 0000-0003-3535-1233
Cong YeInternational School of Integrated Circuit, Dongguan University of Technology, Dongguan 523000, China.

Funding

National Natural Science Foundation of China 62274058National Natural Science Foundation of China 62405352
6 · The paper itself

Abstract

As the deep integration of the Internet of Things (IoT) and artificial intelligence (AI) technologies has rendered traditional encryption techniques increasingly inadequate in terms of security strength, the implementation of hardware-level security solutions has been identified as a critical issue in the design of information systems. Memristors, as passive circuit components with their intrinsic stochastic switching behavior, multistate storage capability, and low power consumption, have been exploited to provide a viable approach for the construction of hardware security primitives, including true random number generators (TRNGs) and physically unclonable functions (PUFs). In this review, the latest research advances in memristor-based hardware security technologies were systematically surveyed from three perspectives, namely TRNGs, PUFs and other security schemes. With regard to TRNGs and PUFs, respectively, we have systematically summarized their characteristics, including throughput, power consumption and randomness quality, as well as uniqueness, reliability and methods, with particular attention paid to the types of entropy sources and bit-generation strategies. In addition, the potential application of other memristor-based hardware security solutions in information hiding, encrypted transmission and authentication was also analyzed. Subsequently, the principal challenges impeding the transition from laboratory research to mass production were summarized, encompassing synergistic integration with advanced CMOS processes, the balance between reliability and stochasticity, and the absence of design methodologies that integrate hardware and software. Future development trajectories were further delineated, including cross-layer optimization across devices, circuits, and systems, the design of high-security chips resistant to machine learning attacks, CMOS-compatible stable implementation schemes, and the on-chip integration of TRNGs, PUFs, and encryption engines. The present review is intended to serve as a systematic reference for the design of novel hardware security systems, thereby paving the way for the practical deployment of memristor-based security technologies.

Indexed as

hardware securitymemristorsphysical unclonable functionstrue random number generators

Identifiers

PMID42796159
PMCPMC13609069

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.