Flow timeout matters: Investigating the impact of active and idle timeouts on the performance of machine learning models in detecting security threats. Meryem Janati Idrissi, Hamza Alami, Abdelkader El Mahdaouy, Abdelhak Bouayad, Zakaria Yartaoui, Ismail Berrada. In Future Generation Computer Systems, vol. 166, no. , pp. 107641, 2025.
Publications
DomURLs_BERT: Pre-trained BERT-based Model for Malicious Domains and URLs Detection and Classification. Abdelkader El Mahdaouy, Salima Lamsiyah, Meryem Janati Idrissi, Hamza Alami, Zakaria Yartaoui, Ismail Berrada. In arXiv preprint arXiv:2409.09143, vol. , no. , pp. , 2024.
PhD Thesis: Securing Networks: Anomaly-Based Network Intrusion Detection with Federated Learning. Meryem Janati Idrissi. Supervised by Dr. Ismail Berrada. Defended on May 16, 2024.
Lightweight-Fed-NIDS: A Lightweight Federated Learning Framework for Enhanced Network Intrusion Detection System. Abdelhak Bouayad, Hamza Alami, Meryem Janati Idrissi and Ismail Berrada. In IEEE Access, vol. 2169-3536, no. , pp. 1-1, 2024.
NF-NIDS: Normalizing Flows for Network Intrusion Detection Systems. Meryem Janati Idrissi, Hamza Alami, Abdelhak Bouayad and Ismail Berrada. In 2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM), pp. TBD, 2023. [Slides]
Investigating Domain Adaptation for Network Intrusion Detection. Hamza Alami, Meryem Janati Idrissi, Abdelkader El Mahdaouy, Abdelhak Bouayad, Zakaria Yartaoui and Ismail Berrada. In 2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM), pp. TBD, 2023.
Fed-ANIDS: Federated learning for anomaly-based network intrusion detection systems. Meryem Janati Idrissi, Hamza Alami, Abdelkader El Mahdaouy, Abdellah El Mekki, Soufiane Oualil, Zakaria Yartaoui and Ismail Berrada. In Expert Systems with Applications, vol. 234, no. , pp. 0957-4174, 2023.
FEDBS: Learning on Non-IID Data in Federated Learning using Batch Normalization. Meryem Janati Idrissi, Ismail Berrada and Guevara Noubir. In 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), pp. 861-867, 2021. [Slides]