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.

本数据集收录了Mikhail Fomichev、Timm Lippert与Matthias Hollick在《2023年嵌入式无线系统与网络国际会议论文集（EWNS'23）》中发表的论文《零交互配对与认证的强化与提速》（"Hardening and Speeding Up Zero-interaction Pairing and Authentication"）所对应的研究产出物（含实验数据与结果）。

本数据集包含家庭与办公两种场景下采集的照度、RGB、二氧化碳（CO₂）及总挥发性有机化合物（TVOC）传感器原始数据；实验结果涵盖了在上述两类场景中，由共置（部署于同一家庭或办公空间）与非共置设备采集的前述传感器数据所计算得到的熵值，以及动态时间规整（Dynamic Time Warping, DTW）距离。

实验结果还涵盖了共置与非共置设备录制的音频数据的熵值，以及此类录音的音频相似度。有关音频相似度指标的详细说明与更多相关信息，请参阅本研究论文。