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HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication. (arXiv:2305.09594v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
New capabilities in wireless network security have been enabled by deep
learning, which leverages patterns in radio frequency (RF) data to identify and
authenticate devices. Open-set detection is an area of deep learning that
identifies samples captured from new devices during deployment that were not
part of the training set. Past work in open-set detection has mostly been
applied to independent and identically distributed data such as images. In
contrast, RF signal data present a unique set of challenges as …
area authentication capabilities data deep learning deployment detection device devices identify network network security novel patterns radio security wireless