Analysis of physical unclonable identification based on reference list decoding


In this paper we advocate a new approach to item identification based on physical unclonable features. Being unique characteristics of an item, these features represent a kind of unstructured random codebook that links the identification problem to digital communications via composite hypothesis testing. Despite the obvious similarity, this problem is… (More)
DOI: 10.1117/12.764840


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