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CyBERT: Cybersecurity Claim Classification by Fine-Tuning the BERT Language Model

We introduce CyBERT, a cybersecurity feature claims classifier based on bidirectional encoder representations from transformers and a key component in our semi-automated cybersecurity vetting for industrial control systems (ICS). To train CyBERT, we created a corpus of labeled sequences from ICS dev...

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Bibliografische gegevens
Hoofdauteurs: Kimia Ameri, Michael Hempel, Hamid Sharif, Juan Lopez Jr., Kalyan Perumalla
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2021-11-01
Reeks:Journal of Cybersecurity and Privacy
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Online toegang:https://www.mdpi.com/2624-800X/1/4/31
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