Semantic Ranking for Automated Adversarial Technique Annotation in Security Text

arXiv:2403.17068v1 Announce Type: new
Abstract: We introduce a new method for extracting structured threat behaviors from threat intelligence text. Our method is based on a multi-stage ranking architecture that allows jointly optimizing for efficiency and effectiveness. Therefore, we believe this problem formulation better aligns with the real-world nature of the task considering the large number of adversary techniques and the extensive body of threat intelligence created by security analysts. Our findings show that the proposed system yields state-of-the-art performance results …

adversarial architecture arxiv automated cs.cr efficiency intelligence nature problem real security semantic stage text threat threat intelligence we believe world