STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports. (arXiv:2303.09999v1 [cs.IR])

The automatic extraction of information from Cyber Threat Intelligence (CTI)
reports is crucial in risk management. The increased frequency of the
publications of these reports has led researchers to develop new systems for
automatically recovering different types of entities and relations from textual
data. Most state-of-the-art models leverage Natural Language Processing (NLP)
techniques, which perform greatly in extracting a few types of entities at a
time but cannot detect heterogeneous data or their relations. Furthermore,
several paradigms, such as STIX, …

art automatic cti cyber cyber threat cyber threat intelligence data entities information intelligence language led management modular natural language natural language processing nlp novel publications reports researchers risk risk management solution state stix systems techniques threat threat intelligence types