An Effective IDS Against Routing Attacks on Mobile Ad-Hoc Networks. - Rahma Meddeb; Bayrem Triki; Farah Jemili; Ouajdi Korbaa (SoMeT, 2018)

Dataset for Intrusion Detection in Mobile Ad-Hoc Networks. - Rahma Meddeb; Bayrem Triki; Farah Jemili; Ouajdi Korbaa (ISDA, 2019)

Anomaly-based Behavioral Detection in Mobile Ad-Hoc Networks⁎. - Rahma Meddeb; Farah Jemili; Bayrem Triki; Ouajdi Korbaa (KES, 2019)

Ensemble Learning Based Big Data Classification for Intrusion Detection. - Kamel Yasmine Kamel; Farah Jemili; Rahma Meddeb (ISDA (1), 2022)

A deep learning-based intrusion detection approach for mobile Ad-hoc network. - Rahma Meddeb; Farah Jemili; Bayrem Triki; Ouajdi Korbaa (Soft Comput., 2023)

Intrusion detection based on ensemble learning for big data classification. - Farah Jemili; Rahma Meddeb; Ouajdi Korbaa (Clust. Comput., 2024)

Advances in deep learning intrusion detection over encrypted data with privacy preservation: a systematic review. - Fatma Hendaoui; Ahlem Ferchichi; Lamia Trabelsi; Rahma Meddeb; Rawia Ahmed; Manel Khazri Khelifi (Clust. Comput., 2024)

FLADEN: Federated Learning for Anomaly DEtection in IoT Networks. - Fatma Hendaoui; Rahma Meddeb; Lamia Trabelsi; Ahlem Ferchichi; Rawia Ahmed (Comput. Secur., 2025)