Literature DB >> 29419836

Nanoscale diffusive memristor crossbars as physical unclonable functions.

R Zhang1, H Jiang, Z R Wang, P Lin, Y Zhuo, D Holcomb, D H Zhang, J J Yang, Q Xia.   

Abstract

Physical unclonable functions have emerged as promising hardware security primitives for device authentication and key generation in the era of the Internet of Things. Herein, we report novel physical unclonable functions built upon the crossbars of nanoscale diffusive memristors that translate the stochastic distribution of Ag clusters in a SiO2 matrix into a random binary bitmap that serves as a device fingerprint. The random dispersion of Ag led to an uneven number of clusters at each cross-point, which in turn resulted in a stochastic ability to switch in the Ag:SiO2 diffusive memristors in an array. The randomness of the dispersion was a barrier to fingerprint cloning and the unique fingerprints of each device were persistent after fabrication. Using an optimized fabrication procedure, we maximized the randomness and achieved an inter-class Hamming distance of 50.68%. We also discovered that the bits were not flipping after over 104 s at 400 K, suggesting superior reliability of our physical unclonable functions. In addition, our diffusive memristor-based physical unclonable functions were easy to fabricate and did not require complicated post-processing for digitization and thus, provide new opportunities in hardware security applications.

Entities:  

Year:  2018        PMID: 29419836     DOI: 10.1039/c7nr06561b

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  3 in total

1.  All-in-one, bio-inspired, and low-power crypto engines for near-sensor security based on two-dimensional memtransistors.

Authors:  Akhil Dodda; Nicholas Trainor; Joan M Redwing; Saptarshi Das
Journal:  Nat Commun       Date:  2022-06-23       Impact factor: 17.694

Review 2.  Conductive Bridge Random Access Memory (CBRAM): Challenges and Opportunities for Memory and Neuromorphic Computing Applications.

Authors:  Haider Abbas; Jiayi Li; Diing Shenp Ang
Journal:  Micromachines (Basel)       Date:  2022-04-30       Impact factor: 3.523

3.  Probabilistic computing using Cu0.1Te0.9/HfO2/Pt diffusive memristors.

Authors:  Kyung Seok Woo; Jaehyun Kim; Janguk Han; Woohyun Kim; Yoon Ho Jang; Cheol Seong Hwang
Journal:  Nat Commun       Date:  2022-09-30       Impact factor: 17.694

  3 in total

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