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

Authors: Mikhail Fomichev; Timm Lippert; Matthias Hollick;

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

Abstract

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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