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Attack Tactic Identification by Transfer Learning of Language Model. (arXiv:2209.00263v1 [cs.CR])
Sept. 2, 2022, 1:20 a.m. | Ling-Hsuan Lin, Shun-Wen Hsiao
cs.CR updates on arXiv.org arxiv.org
Cybersecurity has become a primary global concern with the rapid increase in
security attacks and data breaches. Artificial intelligence is promising to
help humans analyzing and identifying attacks. However, labeling millions of
packets for supervised learning is never easy. This study aims to leverage
transfer learning technique that stores the knowledge gained from well-defined
attack lifecycle documents and applies it to hundred thousands of unlabeled
attacks (packets) for identifying their attack tactics. We anticipate the
knowledge of an attack is …
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