UJI Probes Revisited: Deeper Dive into the Dataset of Wi-Fi Probe Requests
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU149571" target="_blank" >RIV/00216305:26220/23:PU149571 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10325607/" target="_blank" >https://ieeexplore.ieee.org/document/10325607/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JISPIN.2023.3335882" target="_blank" >10.1109/JISPIN.2023.3335882</a>
Alternative languages
Result language
angličtina
Original language name
UJI Probes Revisited: Deeper Dive into the Dataset of Wi-Fi Probe Requests
Original language description
This paper centers on the deeper presentation of a~new and publicly accessible dataset comprising of Wi-Fi probe requests. Probe requests fall within the category of management frames utilized by the 802.11 (Wi-Fi) protocol. Given the ever-evolving technological landscape and the imperative need for up-to-date data, research on probe requests remains essential. In this context, we present a comprehensive dataset encompassing a one-month probe request capture conducted in a~university office environment. This dataset accounts for a diverse range of scenarios, including workdays, weekends, and holidays, accumulating over 1 400 000 probe requests. Our contribution encompasses a detailed exposition of the dataset, delving into its critical facets. In addition to the raw packet capture, we furnish a detailed floor plan of the office environment, commonly referred to as a Radio Map (RM), to equip dataset users with comprehensive environmental information. To safeguard user privacy, all individual user information within the dataset has been anonymized. This anonymization process rigorously balances the preservation of users' privacy with the dataset's analytical utility, rendering it nearly as informative as raw data for research purposes. Furthermore, we demonstrate a~range of potential applications for this dataset, including but not limited to presence detection, expanded assessment of temporal Received Signal Strength Indicator (RSSI) stability, and evaluation of privacy protection measures. Apart from these, we also include temporal analysis of probe request transmission frequency and period between Wi-Fi scans as well as a~peak into possibilities with pattern analysis.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Journal of Indoor and Seamless Positioning and Navigation
ISSN
2832-7322
e-ISSN
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Volume of the periodical
1
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
221-230
UT code for WoS article
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EID of the result in the Scopus database
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