Unpredictably Disordered Distribution of Hetero-Blended Graphene Oxide Flakes with Non-Identical Resistance in Physical Unclonable Functions

Subin Lee, Seon Yeon Choi, Byung Chul Jang, Dong Hyun Lee, Joon Young Cho, Joong Tark Han, Hocheon Yoo, Hyun Ho Kim

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

In this study, a new concept of physical unclonable functions (PUFs) is introduced comprising reduced graphene oxide (GO) materials. To create a disordered conductivity distribution, two types of GO are used: HGO, are produced by the conventional Hummers’ method, and PGO, produced by Brodie's method with an additional unique purification procedure. It is found that PGO becomes graphene-like after room-temperature chemical reduction. These two reduced GOs have a distinct conductivity difference of up to 104 times. By blending these two materials, a random mixture is created that can generate a highly unpredictable electrical signal, serving as an ideal security key with strong randomness and uniqueness. The optimized PUF device, based on this approach, demonstrates excellent performance in generating secure keys.

Original languageEnglish
Article number2304432
JournalAdvanced Functional Materials
Volume33
Issue number48
DOIs
StatePublished - 23 Nov 2023

Keywords

  • digital fingerprints
  • hardware-based security
  • inter-hamming distance
  • physical unclonable function
  • reduced graphene oxide

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