A Dataset of Barometric Readings for Enhancing Security and Privacy of IoT

Published: 12 June 2023| Version 1 | DOI: 10.17632/vfk4b45jnk.1
Omar Adel Ibrahim, Gabriele Oligeri, Roberto Di Pietro


This dataset presents an experimental campaign of real-world barometric measurements collected in open areas under different weather conditions. Specifically, our dataset includes readings recorded using the reference hardware platform BMP280. The experiments involve a reference scenario constituted by three Adafruit BMP280 barometric sensors connected to a Raspberry Pi 3 Model B board to collect barometric measurements. The three sensors represent two communicating parties (Alice and Bob) and an adversary (Eve), respectively. In the .csv files, each party is recorded in a separate column and each row represents a specific time instance. The dataset is constituted by three experiments characterized by different relative distances among Alice, Bob, and Eve. We considered 5cm and 2m between Alice and Bob while placing Eve at 2m and 8 meters, respectively. The second configuration, i.e., (Alice-Bob at 2m and Eve at 8m) has been replicated in a different scenario characterized by less air pressure fluctuations. The sampling frequency has been set to 70Hz while the measurements last for 50, 24 and 41 hours, respectively. One possible usage of the dataset is presented in the following paper: "Eolo: IoT Proximity-based Authentication via Pressure Correlated Variations" https://ieeexplore.ieee.org/document/9947258 Search also for a "Data in Brief" paper titled "A Dataset of Barometric Readings for Enhancing Security and Privacy of IoT" describing this dataset. https://www.sciencedirect.com/journal/data-in-brief



Hamad Bin Khalifa University College of Science and Engineering


Wireless Communication, Authentication, Internet of Things