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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

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database