802.11 Managemement frames from a public location

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Citation

Vermunicht, B., Van de Wynckel, M., & Signer, B. (2023). 802.11 Managemement frames from a public location. https://doi.org/10.5281/zenodo.8003771

@misc{hoebeke2023,
	author = {Vermunicht, Benjamin and Van de Wynckel, Maxim and Signer, Beat},
	doi = {10.5281/zenodo.8003771},
	year = {2023},
	title = {802.11 {Managemement} frames from a public location},
}

Authors

Abstract

The following datasets were captured at a busy Belgian train station between 9pm and 10pm, it contains all 802.11 management frames that were captured. both datasets were captured with approximately 20 minutes between then.

Both datasets are represented by a pcap and CSV file. The CSV file contains the frame type, timestamps, signal strength, SSID and MAC addresses for every frame. In the pcap file, all generic 802.11 elements were removed for anonymization purposes.

Anonymization

All frames were anonymized by removing identifying information or renaming identifiers. Concretely, the following transformations were applied to both datasets:

  • All MAC addresses were renamed (e.g. 00:00:00:00:00:01)
  • All SSID's were renamed (e.g. NETWORK_1)
  • All generec 802.11 elements were removed from the pcap

In the pcap file, anonymization actions could lead to "corrupted" frames because length tags do not correspond with the actual data. However, the file and its frames are still readable in packet analyzing tools such as Wireshark or Scapy.

The script which was used to anonymize is available in the dataset.

Data

N/o Dataset 1 dataset 2
Frames 36306 60984
Beacon frames 19693 27983
Request frames 798 1580
Response frames 15815 31421
Identified Wi-Fi Networks 54 70
Identified MAC addresses 2092 2705
Identified Wireless devices 128 186
Capturetime 480s 422s

Dataset contents

The two datasets are stored in the directories 1/ and 2/. Each directory contains:

  • capture-X.pcap: an anonymized version of the original capture
  • capture-X.csv: content of each captured frame (timestamp, MAC address...) saved as a CSV file

anonymization.py is the script which was used to remove identifiers.

README.md contains the documentation about the datasets