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...

Cijeli opis

Bibliografski detalji

Glavni autori:	Rebet Jones, Marwan Omar
Format:	Artigo
Jezik:	Inglês
Izdano:	Universitas Komputer Indonesia 2024-12-01
Serija:	International Journal of Informatics, Information System and Computer Engineering
Teme:	zero-day attack detection gpt-2 model metaheuristic optimization cybersecurity deep learning
Online pristup:	https://ojs.unikom.ac.id/index.php/injiiscom/article/view/12741
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!