A hybrid artificial intelligence model for cyberattack detection using a generative AI embedded approach
Abstract In modern cybersecurity scenario, an intrusion detection system (IDS) should not only be highly predictive but also be dynamically responsive to new attack vectors. In this paper, the hybrid architecture is proposed, and it combines graph-based, sequential, and tabular learning into one arc...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer
2026-02-01
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| Collection: | Discover Artificial Intelligence |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1007/s44163-026-00901-4 |
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