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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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Hlavní autoři: Budi Hartono, Fujiama Diapoldo Silalahi, Moh Muthohir
Médium: Artigo
Jazyk:Inglês
Vydáno: Universitas Sains dan Teknologi Komputer 2024-12-01
Edice:Journal of Technology Informatics and Engineering
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On-line přístup:https://jtie.stekom.ac.id/index.php/jtie/article/view/211
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