Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: WIDEFT: A Corpus of Radio Frequency Signals for Wireless Device
  Fingerprint Research   Wireless network security may be improved by identifying networked devices
via traits that are tied to hardware differences, typically related to unique
variations introduced in the manufacturing process. One way these variations
manifest is through unique transient events when a radio transmitter is
activated or deactivated. Features extracted from these signal bursts have in
some cases, shown to provide a unique "fingerprint" for a wireless device.
However, only recently have researchers made such data available for research
and comparison. Herein, we describe a publicly-available corpus of radio
frequency signals that can be used for wireless device fingerprint research.
The WIDEFT corpus contains signal bursts from 138 unique devices (100 bursts
per device), including Bluetooth- and WiFi-enabled devices, from 79 unique
models. Additionally, to demonstrate the utility of the WIDEFT corpus, we
provide four baseline evaluations using a minimal subset of previously-proposed
features and a simple ensemble classifier.

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The categories of this paper are: hep-ph
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The categories of this paper are: math-ph
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The categories of this paper are: math
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The categories of this paper are: nlin
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
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The categories of this paper are: ao-sci
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The categories of this paper are: funct-an
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The categories of this paper are: hep-ex
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-lat
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The categories of this paper are: gr-qc
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The categories of this paper are: physics
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The categories of this paper are: cs