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AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports
April 12, 2024, 4:11 a.m. | Lukas Lange, Marc M\"uller, Ghazaleh Haratinezhad Torbati, Dragan Milchevski, Patrick Grau, Subhash Pujari, Annemarie Friedrich
cs.CR updates on arXiv.org arxiv.org
Abstract: Monitoring the threat landscape to be aware of actual or potential attacks is of utmost importance to cybersecurity professionals. Information about cyber threats is typically distributed using natural language reports. Natural language processing can help with managing this large amount of unstructured information, yet to date, the topic has received little attention. With this paper, we present AnnoCTR, a new CC-BY-SA-licensed dataset of cyber threat reports. The reports have been annotated by a domain expert …
arxiv attacks aware can cs.ai cs.cl cs.cr cs.lg cyber cybersecurity cybersecurity professionals cyber threat cyber threats dataset distributed entities information language large monitoring natural natural language natural language processing professionals reports tactics techniques threat threat landscape threat reports threats
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