Research artifacts from "Hardening and Speeding Up Zero-interaction Pairing and Authentication"

<p>This record contains <strong>research artifacts (data and results)</strong>&nbsp;from the paper&nbsp;&quot;Hardening and Speeding Up Zero-interaction Pairing and Authentication&quot;&nbsp;by Mikhail Fomichev, Timm Lippert, and Matthias Hollick in Proceedings of&nbsp;2023 International Conference on Embedded Wireless Systems and Networks (EWNS&#39; 23).&nbsp;</p> <p>The dataset contains raw data of illuminance, RGB, CO2, and TVOC sensors recorded in two scenarios: Home and Office. While the results include computed entropy and&nbsp;dynamic time warping (DTW) distances of the above data collected by colocated (in the same Home or Office) and non-colocated devices in our two scenarios.&nbsp;</p> <p>The results additionally include entropy of audio data recorded by the colocated and non-colocated devices as well as audio similarity of such recordings. For details about audio similarity metrics and further information, see <a href="https://arxiv.org/pdf/2306.04458.pdf">our paper</a>.&nbsp;</p>