| 2024 | AICCSA | Enhanced Human Activity Recognition Using Controllable GANs for Synthetic Data Generation. | Mohamed Hedi Djemaa, Imen Megdiche, Farah Jemili, Rafika Thabet, Elyes Lamine, Ouajdi Korbaa |
| 2024 | AICCSA | A Deep Learning System for Early Detection of Diabetic Retinopathy. | Mayssa Emmales, Farah Jemili, Ouajdi Korbaa, Ferid Kamel |
| 2023 | CW | Towards Deep Learning and Blockchain-based Intrusion Detection System. | Mohamed Ala Eddine Bahri, Farah Jemili, Ouajdi Korbaa |
| 2023 | CW | Intrusion Detection based on Incremental Learning. | Islem Chouchene, Farah Jemili |
| 2022 | ICCCI | Distributed Architecture of an Intrusion Detection System in Industrial Control Systems. | Ahlem Abid, Farah Jemili, Ouajdi Korbaa |
| 2022 | ISDA | Ensemble Learning Based Big Data Classification for Intrusion Detection. | Kamel Yasmine Kamel, Farah Jemili, Rahma Meddeb |
| 2021 | HPCC | A Deep Learning Approach for Intrusion Detection. | Roua Dhahbi, Farah Jemili |
| 2020 | ATSIP | A new features vector matching for big heterogeneous data in intrusion detection context. | Marwa Elayni, Farah Jemili, Ouajdi Korbaa, Basel Solaiman |
| 2020 | KES | Intrusion Detection based on Graph oriented Big Data Analytics. | Ahlem Abid, Farah Jemili |
| 2019 | ISDA | Big Data Processing for Intrusion Detection System Context: A Review. | Marwa Elayni, Farah Jemili, Ouajdi Korbaa, Basel Solaiman |
| 2019 | ISDA | Distributed Architecture of Snort IDS in Cloud Environment. | Mondher Essid, Farah Jemili, Ouajdi Korbaa |
| 2019 | ISDA | Dataset for Intrusion Detection in Mobile Ad-Hoc Networks. | Rahma Meddeb, Bayrem Triki, Farah Jemili, Ouajdi Korbaa |
| 2019 | KES | Anomaly-based Behavioral Detection in Mobile Ad-Hoc Networks | Rahma Meddeb, Farah Jemili, Bayrem Triki, Ouajdi Korbaa |
| 2018 | SoMeT | An Effective IDS Against Routing Attacks on Mobile Ad-Hoc Networks. | Rahma Meddeb, Bayrem Triki, Farah Jemili, Ouajdi Korbaa |
| 2017 | SOFTCOM | Neuro-fuzzy and genetic-fuzzy based approaches in intrusion detection: Comparative study. | Imen Gaied, Farah Jemili, Ouajdi Korbaa |
| 2016 | AICCSA | Intrusion detection based on genetic fuzzy classification system. | Mariem Belhor, Farah Jemili |
| 2016 | ISDA | A Genetic-Fuzzy Classification Approach to Improve High-Dimensional Intrusion Detection System. | Imen Gaied, Farah Jemili, Ouajdi Korbaa |
| 2016 | SMC | Combining intrusion detection datasets using MapReduce. | Mondher Essid, Farah Jemili |
| 2015 | AICCSA | Intrusion detection based on Neuro-Fuzzy classification. | Imen Gaied, Farah Jemili, Ouajdi Korbaa |
| 2009 | ISI | Intrusion detection based on "Hybrid" propagation in Bayesian Networks. | Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed |
| 2007 | ISI | A Framework for an Adaptive Intrusion Detection System using Bayesian Network. | Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed |
| 2006 | SECRYPT | Comparative Study between Bayesian Network and Possibilistic Network in Intrusion Detection. | Najla Arfaoui, Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed |