Communication
Enhancing IoT Security Through Deep learning and Evolutionary Bio-Inspired Intrusion Detection in IoT systems
Imed Eddine Bouramoul✉, Soumia Zertal, Makhlouf Derdour, Imene Zenbout
Résumé
Advancements in systems based on the Internet of Things (IoT) have led to a significant transformation across various sectors. However, the security of IoT networks remains a major concern due to the diversity and ubiquity of connected devices. This paper introduces an innovative intrusion detection method for IoT systems, combining the bioinspired features selection algorithms with artificial neu...
Détails
| Langue originale | English |
|---|---|
| Revue | 2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS) |
| Numéro d’article | 10541160 |
| Pages | 1-8 |
| DOI | 10.1109/pais62114.2024.10541160 |
| Statut de publication | Publié — 2024 |