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Towards Cyber Mapping the German Financial System with Knowledge Graphs

Markus Schröder; Jacqueline Krüger; Neda Foroutan; Philipp Horn; Christoph Fricke; Ezgi Delikanli; Heiko Maus; Andreas Dengel
In: The Semantic Web - 21st International Conference. Extended Semantic Web Conference (ESWC-2024), May 26-30, Hersonissos, Crete, Greece, ISBN 978-3-031-60625-0, Springer, 2024.


The increasing outsourcing by financial intermediaries intensifies the interconnection of the financial system with third-party providers. Concentration risks can materialize and threaten financial stability if these third-party providers are affected by cyber incidents. With the goal of preserving financial stability, regulators are interested in tracing cyber incidents efficiently. One method to achieve this is cyber mapping, which allows them to analyze the connections between the financial network and the cyber network. In this paper, a provenance-aware knowledge graph is constructed to model this kind of mapping for investment funds which are part of the German financial system. As a first application, we provide a front-end for analyzing the funds' outsourcing behaviors. In a user study with ten experts, we evaluate and show the application's usability and usefulness. Time estimations for certain scenarios indicate our application's potential to reduce time and effort for supervisors. Especially for complex analysis tasks, our cyber mapping solution could provide benefits for cyber risk monitoring.