AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports

arXiv:2404.07765v1 Announce Type: cross
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 …

abstract arxiv attacks cs.ai cs.cl cs.cr cs.lg cyber cybersecurity cybersecurity professionals cyber threat dataset distributed importance information landscape language language processing monitoring natural natural language natural language processing processing professionals reports tactics threat threat landscape threats type