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- W2276969716 abstract "With an eigenanalysis approach, this paper quantitatively unveils the diversity and the capacity of identities offered by silicon random nanostructures formed via random collapse of resist for nano-artifact metrics or physical unclonable functions, which are vital in the Internet-of-Things era where securing the identity of individual devices is critical. The results provide about 10^115 possible identities per 0.18-um^2 area of nanostructures, indicating that nanoscale versatile morphology will be extremely useful for future security functions. Also, the result validates the effectiveness and the usefulness of eigenanalysis approaches for versatile nanostructures, which will be widely applicable to other nanomaterials and morphological patterns." @default.
- W2276969716 created "2016-06-24" @default.
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- W2276969716 date "2016-02-26" @default.
- W2276969716 modified "2023-09-27" @default.
- W2276969716 title "Eigenanalysis of silicon random nanostructures formed via resist collapse for nano-artifact metrics" @default.
- W2276969716 hasPublicationYear "2016" @default.
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