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

This record contains research artifacts (data and results) from the paper "Hardening and Speeding Up Zero-interaction Pairing and Authentication" by Mikhail Fomichev, Timm Lippert, and Matthias Hollick in Proceedings of 2023 International Conference on Embedded Wireless Systems and Networks (EWNS' 23). 

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 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. 

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 our paper.