Revolutionizing Cybersecurity: The GPT-2 Enhanced Attack Detection and Defense (GEADD) Method for Zero-Day Threats

The escalating sophistication of cyber threats, particularly zero-day attacks, necessitates advanced detection methodologies in cybersecurity. This study introduces the GPT-2 Enhanced Attack Detection and Defense (GEADD) method, an innovative approach that integrates the GPT-2 model with metaheurist...

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Detalhes bibliográficos

Principais autores:	Rebet Jones, Marwan Omar
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Universitas Komputer Indonesia 2024-12-01
Colecção:	International Journal of Informatics, Information System and Computer Engineering
Assuntos:	zero-day attack detection gpt-2 model metaheuristic optimization cybersecurity deep learning
Acesso em linha:	https://ojs.unikom.ac.id/index.php/injiiscom/article/view/12741
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