Published July 15, 2022 | Version 1.0.2
Dataset Open

RadarPWN

  • 1. Fraunhofer FKIE / RWTH Aachen University
  • 2. Fraunhofer FKIE
  • 3. RWTH Aachen University
  • 4. RWTH Aachen University / Fraunhofer FKIE

Description

RadarPWN is a comprehensive, easy-to-use, and documented dataset, including cyberattacks against radar communication in modern Integrated Bridge Systems. RadarPWN was recorded using a simulation environment consisting of the BridgeCommand ship simulator, our Radar Attack Tool and the OpenCPN chart plotter. The resulting data consists of  Navico BR24 and NMEA 0183 network traffic in benign and "attack" scenarios.

The dataset is available in two forms:

  • radarpwn-x-y-z contains all network captures as pcaps as well as configuration files used for the simulation runs and logs
  • radarpwn-x-y-z-screen-captures contains all of the above in addition to screen recording videos of all of the simulation runs showing the chart plotter, the radar screen and the logs of the Radar Attack Tool, which can be helpful to visualize the attacks contained in the network captures.

Details on the structure and content of the dataset are provided in the README.md file (or README.html). Working with the provided packet captures can be facilitated by using our Wireshark dissector.

For more information, please see K. Wolsing et al., "Network Attacks Against Marine Radar Systems: A Taxonomy, Simulation Environment, and Dataset," 2022 IEEE 47th Conference on Local Computer Networks (LCN), 2022, pp. 114-122, DOI: 10.1109/LCN53696.2022.9843801.

Changelog:

  • 1.0.2: Updated README files to include link to the radarsec-lab simulation environment.
  • 1.0.1: Removed Docker-compose logs, renamed scenario list files to ensure the dataset archive is the default preview file on Zenodo.

Files

radarpwn-1-0-1-screen-captures.zip

Files (11.7 GB)

Name Size Download all
md5:1872aee77fe010af8c0127bf9ba6ecec
10.5 GB Preview Download
md5:13f8dee215a9d33f49b908b57ae6a270
1.2 GB Preview Download
md5:7d66346214fca036ab55cb01d7e62249
668.9 kB Download
md5:964f9c419f9059977f433acba6a8db18
8.0 kB Preview Download
md5:253233bade181daac293c93baf33af5b
346.7 kB Download
md5:dc2b21a9fcdabfd22abd14728c414a44
309.0 kB Preview Download