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Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models
March 5, 2024, 3:11 p.m. | Jiandong Jin, Bowen Tang, Mingxuan Ma, Xiao Liu, Yunfei Wang, Qingnan Lai, Jia Yang, Changling Zhou
cs.CR updates on arXiv.org arxiv.org
Abstract: We introduces Crimson, a system that enhances the strategic reasoning capabilities of Large Language Models (LLMs) within the realm of cybersecurity. By correlating CVEs with MITRE ATT&CK techniques, Crimson advances threat anticipation and strategic defense efforts. Our approach includes defining and evaluating cybersecurity strategic tasks, alongside implementing a comprehensive human-in-the-loop data-synthetic workflow to develop the CVE-to-ATT&CK Mapping (CVEM) dataset. We further enhance LLMs' reasoning abilities through a novel Retrieval-Aware Training (RAT) process and its refined …
amp arxiv att capabilities cs.ai cs.cr cves cybersecurity defense language language models large llms mitre mitre att& realm reasoning strategic system techniques threat
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