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RadarPWN

Authors: Wolsing, Konrad; Saillard, Antoine; Bauer, Jan; Wagner, Eric; van Sloun, Christian; Fink, Ina Berenice; Schmidt, Mari; +2 Authors
Abstract

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.

Related Organizations
Keywords

Marine Radar, Maritime Cyber Security, NMEA 0183, Navico BR24, AIS, Radar Dataset

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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