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Towards a Security Advisory Content Retrieval and Extraction System for Computer Emergency Response Teams

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

Computer Emergency Response Teams provide advisory, preventive, and reactive cybersecurity services for authorities, citizens, and businesses. However, their responsibility of establishing cyber situational awareness by monitoring and analyzing security advisories and vulnerabilities has become challenging due to the growing volume of information disseminated through public channels. Thus, this paper presents the preliminary design of a system for automatically retrieving and extracting security advisory documents from Common Security Advisory Framework (CSAF), HTML, and RSS sources. The evaluation with various security advisory sources (N=53) shows that the developed system can retrieve 90% of the published advisory documents, which is a significant improvement over systems only relying on the retrieval from RSS feeds (30%).

Beschreibung

Kaufhold, Marc-André; Bäumler, Julian; Koukal, Nicolai; Reuter, Christian (2024): Towards a Security Advisory Content Retrieval and Extraction System for Computer Emergency Response Teams. Mensch und Computer 2024 - Workshopband. DOI: 10.18420/muc2024-mci-ws13-133. Gesellschaft für Informatik e.V.. MCI-WS13: Workshop Mensch-Maschine-Interaktion in sicherheitskritischen Systemen. Karlsruhe. 1.-4. September 2024

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