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Transformers in Cybersecurity: Advancing Threat Detection and Response through Machine Learning Architectures

The increasing sophistication of cyber threats has outpaced the capabilities of traditional detection and response systems, necessitating the adoption of advanced machine learning architectures. This study investigates the application of Transformer-based models in cybersecurity, focusing on their a...

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Detaylı Bibliyografya
Asıl Yazarlar: Budi Hartono, Fujiama Diapoldo Silalahi, Moh Muthohir
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Universitas Sains dan Teknologi Komputer 2024-12-01
Seri Bilgileri:Journal of Technology Informatics and Engineering
Konular:
Online Erişim:https://jtie.stekom.ac.id/index.php/jtie/article/view/211
Etiketler: Etiketle
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