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

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dc.contributor.authorKaufhold, Marc-André
dc.contributor.authorBäumler, Julian
dc.contributor.authorKoukal, Nicolai
dc.contributor.authorReuter, Christian
dc.date.accessioned2024-08-21T11:08:33Z
dc.date.available2024-08-21T11:08:33Z
dc.date.issued2024
dc.description.abstractComputer 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%).en
dc.identifier.doi10.18420/muc2024-mci-ws13-133
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44273
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2024 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.rightshttp://purl.org/eprint/accessRights/RestrictedAccess
dc.rights.urihttp://purl.org/eprint/accessRights/RestrictedAccess
dc.titleTowards a Security Advisory Content Retrieval and Extraction System for Computer Emergency Response Teamsen
dc.typeText/Workshop Paper
gi.conference.date1.-4. September 2024
gi.conference.locationKarlsruhe
gi.conference.sessiontitleMCI-WS13: Workshop Mensch-Maschine-Interaktion in sicherheitskritischen Systemen

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