2016
DOI: 10.1038/srep32438
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Optical nano artifact metrics using silicon random nanostructures

Abstract: Nano-artifact metrics exploit unique physical attributes of nanostructured matter for authentication and clone resistance, which is vitally important in the age of Internet-of-Things where securing identities is critical. However, expensive and huge experimental apparatuses, such as scanning electron microscopy, have been required in the former studies. Herein, we demonstrate an optical approach to characterise the nanoscale-precision signatures of silicon random structures towards realising low-cost and high-… Show more

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Cited by 11 publications
(5 citation statements)
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“…The existing mainstream artifact-metrics systems include those that employ optical cameras to measure microscopic physical features [2] [3]. When artifact metrics are based on microscopic features, attackers can create precise clones via various methods, such as raster processing, or stacking.…”
Section: Introductionmentioning
confidence: 99%
“…The existing mainstream artifact-metrics systems include those that employ optical cameras to measure microscopic physical features [2] [3]. When artifact metrics are based on microscopic features, attackers can create precise clones via various methods, such as raster processing, or stacking.…”
Section: Introductionmentioning
confidence: 99%
“…18) However, this approach is quite inconvenient for the practical use. As an alternative technique, in parallel with a simple optical approach, 20,21) we recently proposed an electrical discrimination using a Si MOSFET (metal-oxide-semiconductor fieldeffect transistor). 22,23) The basic concept and the feasibility of electrical discrimination has been confirmed by the device simulation.…”
Section: Introductionsmentioning
confidence: 99%
“…Integrated circuits with the variations of wires and transistors produce arbiter-based unclonable functions 5 . Randomly collapsed polymer resist nanostructures 6 and random silicon nanostructures 7 fabricated using lithographic methods can be identified optically. In addition to having such unique physical features, the artefact metrics must satisfy the following requirements: individuality, measurement stability, durability, and clone resistance.…”
Section: Introductionmentioning
confidence: 99%