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Filters: Author is Wagner, Eric  [Clear All Filters]
2023-01-06
Wolsing, Konrad, Saillard, Antoine, Bauer, Jan, Wagner, Eric, van Sloun, Christian, Fink, Ina Berenice, Schmidt, Mari, Wehrle, Klaus, Henze, Martin.  2022.  Network Attacks Against Marine Radar Systems: A Taxonomy, Simulation Environment, and Dataset. 2022 IEEE 47th Conference on Local Computer Networks (LCN). :114—122.
Shipboard marine radar systems are essential for safe navigation, helping seafarers perceive their surroundings as they provide bearing and range estimations, object detection, and tracking. Since onboard systems have become increasingly digitized, interconnecting distributed electronics, radars have been integrated into modern bridge systems. But digitization increases the risk of cyberattacks, especially as vessels cannot be considered air-gapped. Consequently, in-depth security is crucial. However, particularly radar systems are not sufficiently protected against harmful network-level adversaries. Therefore, we ask: Can seafarers believe their eyes? In this paper, we identify possible attacks on radar communication and discuss how these threaten safe vessel operation in an attack taxonomy. Furthermore, we develop a holistic simulation environment with radar, complementary nautical sensors, and prototypically implemented cyberattacks from our taxonomy. Finally, leveraging this environment, we create a comprehensive dataset (RadarPWN) with radar network attacks that provides a foundation for future security research to secure marine radar communication.
2023-01-05
Wagner, Eric, Matzutt, Roman, Pennekamp, Jan, Bader, Lennart, Bajelidze, Irakli, Wehrle, Klaus, Henze, Martin.  2022.  Scalable and Privacy-Focused Company-Centric Supply Chain Management. 2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).
Blockchain technology promises to overcome trust and privacy concerns inherent to centralized information sharing. However, current decentralized supply chain management systems do either not meet privacy and scalability requirements or require a trustworthy consortium, which is challenging for increasingly dynamic supply chains with constantly changing participants. In this paper, we propose CCChain, a scalable and privacy-aware supply chain management system that stores all information locally to give companies complete sovereignty over who accesses their data. Still, tamper protection of all data through a permissionless blockchain enables on-demand tracking and tracing of products as well as reliable information sharing while affording the detection of data inconsistencies. Our evaluation confirms that CCChain offers superior scalability in comparison to alternatives while also enabling near real-time tracking and tracing for many, less complex products.