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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...

Täydet tiedot

Tallennettuna:
Päätekijät: Rebet Jones, Marwan Omar
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Universitas Komputer Indonesia 2024-12-01
Sarja:International Journal of Informatics, Information System and Computer Engineering
Aiheet:
zero-day attack detection
gpt-2 model
metaheuristic optimization
cybersecurity
deep learning
Linkit:https://ojs.unikom.ac.id/index.php/injiiscom/article/view/12741
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