| A survey of attacks in mobile ad hoc networks R Meddeb, B Triki, F Jemili, O Korbaa 2017 international conference on engineering & MIS (ICEMIS), 1-7, 2017 | 38 | 2017 |
| Anomaly-based behavioral detection in mobile Ad-Hoc networks R Meddeb, F Jemili, B Triki, O Korbaa Procedia Computer Science 159, 77-86, 2019 | 17 | 2019 |
| A deep learning-based intrusion detection approach for mobile Ad-hoc network R Meddeb, F Jemili, B Triki, O Korbaa Soft Computing 27 (14), 9425-9439, 2023 | 15 | 2023 |
| A Deep Learning based Intrusion Detection Approach for MANET R Meddeb, F Jemili, B Triki, O Korbaa | 8 | 2022 |
| An effective ids against routing attacks on mobile ad-hoc networks R Meddeb, B Triki, F Jmili, O Korbaa New trends in intelligent software methodologies, tools and techniques, 201-214, 2018 | 7 | 2018 |
| Dataset for intrusion detection in mobile ad-hoc networks R Meddeb, B Triki, F Jemili, O Korbaa Intelligent Systems Design and Applications: 19th International Conference …, 2021 | 6 | 2021 |
| Intrusion detection based on ensemble learning for big data classification F Jemili, R Meddeb, O Korbaa Cluster Computing, 1-28, 2023 | 5 | 2023 |
| Ensemble learning based big data classification for intrusion detection KY Kamel, F Jemili, R Meddeb International Conference on Intelligent Systems Design and Applications, 501-511, 2022 | 2 | 2022 |
| Uncertainty-based Data Collection in Mobile Ad-Hoc Networks R MEDDEB, B TRIKI, F JEMILI International Journal of Computer Information Systems and Industrial …, 2020 | 1 | 2020 |
| Advances in deep learning intrusion detection over encrypted data with privacy preservation: a systematic review F Hendaoui, A Ferchichi, L Trabelsi, R Meddeb, R Ahmed, MK Khelifi Cluster Computing, 1-42, 2024 | | 2024 |
| A comparative Study between Ensemble Learning Techniques in Intrusion Detection Context. F JEMILI, R MEDDEB, Y KAMEL Journal of Information Assurance & Security 18 (1), 2023 | | 2023 |
