A Whale Optimization Algorithm Feature Selection Model for IoT Detecting Intrusion in Environments
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48573-2_59
Reference17 articles.
1. Hazman, C., Benkirane, S., Guezzaz, A., Azrour, M., Abdedaime, M.: DEIGASe: deep extraction and information gain for an optimal anomaly detection in IoT-based smart cities. In: Artificial Intelligence and Smart Environment (2022)
2. Hazman, C., Benkirane, S., Guezzaz, A., Azrour, M., Abdedaime, M.: Building an intelligent anomaly detection model with ensemble learning for IoT-based smart cities. In: Advanced Technology for Smart Environment and Energy, pp. 287–299. Springer (2023)
3. Mohy-eddine, M., Guezzaz, A., Benkirane, S., Azrour, M.: IoT-enabled smart agriculture: security issues and applications. In: The International Conference on Artificial Intelligence and Smart Environment (2022)
4. Mohy-eddine, M., Azrour, M., Mabrouki, J., Amounas, F.M., Guezzaz, A., Benkirane, S.: Embedded Web Server Implementation for Real-Time Water Monitoring Advanced Technology for Smart Environment and Energy, pp. 301–311. Springer (2023)
5. Kirmani, S., Mazid, A., Khan, I.A., Abid, M.: A survey on IoT-enabled smart grids: technologies, architectures, applications, and challenges. Sustainability 15(1), 717 (2022)
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