Comparative Study between Bayesian Network and Possibilistic Network in Intrusion Detection. - Najla Arfaoui; Farah Jemili; Montaceur Zaghdoud; Mohamed Ben Ahmed (SECRYPT, 2006)

A Framework for an Adaptive Intrusion Detection System using Bayesian Network. - Farah Jemili; Montaceur Zaghdoud; Mohamed Ben Ahmed (ISI, 2007)

Intrusion detection based on "Hybrid" propagation in Bayesian Networks. - Farah Jemili; Montaceur Zaghdoud; Mohamed Ben Ahmed (ISI, 2009)

Hybrid Intrusion Detection and Prediction multiAgent System HIDPAS - Farah Jemili; Montaceur Zaghdoud; Mohamed Ben Ahmed (CoRR, 2009)

Intrusion detection based on Neuro-Fuzzy classification. - Imen Gaied; Farah Jemili; Ouajdi Korbaa (AICCSA, 2015)

Intrusion detection based on genetic fuzzy classification system. - Mariem Belhor; Farah Jemili (AICCSA, 2016)

A Genetic-Fuzzy Classification Approach to Improve High-Dimensional Intrusion Detection System. - Imen Gaied; Farah Jemili; Ouajdi Korbaa (ISDA, 2016)

Combining intrusion detection datasets using MapReduce. - Mondher Essid; Farah Jemili (SMC, 2016)

Neuro-fuzzy and genetic-fuzzy based approaches in intrusion detection: Comparative study. - Imen Gaied; Farah Jemili; Ouajdi Korbaa (SoftCOM, 2017)

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

Big Data Processing for Intrusion Detection System Context: A Review. - Marwa Elayni; Farah Jemili; Ouajdi Korbaa; Basel Solaiman (ISDA, 2019)

Distributed Architecture of Snort IDS in Cloud Environment. - Mondher Essid; Farah Jemili; Ouajdi Korbaa (ISDA, 2019)

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)

Comparative Study between Big Data Analysis Techniques in Intrusion Detection. - Mounir Hafsa; Farah Jemili (Big Data Cogn. Comput., 2019)

A new features vector matching for big heterogeneous data in intrusion detection context. - Marwa Elayni; Farah Jemili; Ouajdi Korbaa; Basel Solaiman (ATSIP, 2020)

Intrusion Detection based on Graph oriented Big Data Analytics. - Ahlem Abid; Farah Jemili (KES, 2020)

A Deep Learning Approach for Intrusion Detection. - Roua Dhahbi; Farah Jemili (HPCC/DSS/SmartCity/DependSys, 2021)

A Multi-Agent-Based System for Intrusion Detection. - Tesnim Younes; Farah Jemili (KES-AMSTA, 2021)

Distributed Architecture of an Intrusion Detection System in Industrial Control Systems. - Ahlem Abid; Farah Jemili; Ouajdi Korbaa (ICCCI (CCIS Volume), 2022)

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

Towards Deep Learning and Blockchain-based Intrusion Detection System. - Mohamed Ala Eddine Bahri; Farah Jemili; Ouajdi Korbaa (CW, 2023)

Intrusion Detection based on Incremental Learning. - Islem Chouchen; Farah Jemili (CW, 2023)

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

Distributed deep learning approach for intrusion detection system in industrial control systems based on big data technique and transfer learning. - Ahlem Abid; Farah Jemili; Ouajdi Korbaa (J. Inf. Telecommun., 2023)

Towards data fusion-based big data analytics for intrusion detection. - Farah Jemili (J. Inf. Telecommun., 2023)

Intelligent intrusion detection based on fuzzy Big Data classification. - Farah Jemili (Clust. Comput., 2023)

Enhanced Human Activity Recognition Using Controllable GANs for Synthetic Data Generation. - Mohamed Hedi Djemaa; Imen Megdiche; Farah Jemili; Rafika Thabet; Elyes Lamine; Ouajdi Korbaa (AICCSA, 2024)

A Deep Learning System for Early Detection of Diabetic Retinopathy. - Mayssa Emmales; Farah Jemili; Ouajdi Korbaa; Ferid Kamel (AICCSA, 2024)

Active intrusion detection and prediction based on temporal big data analytics. - Farah Jemili; Ouajdi Korbaa (Int. J. Knowl. Based Intell. Eng. Syst., 2024)

Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques. - Ahlem Abid; Farah Jemili; Ouajdi Korbaa (Clust. Comput., 2024)

Intrusion detection in cyber-physical system using rsa blockchain technology. - Ahmed Aljabri; Farah Jemili; Ouajdi Korbaa (Multim. Tools Appl., 2024)

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

Intrusion detection based on concept drift detection and online incremental learning. - Farah Jemili; Khaled Jouini; Ouajdi Korbaa (Int. J. Pervasive Comput. Commun., 2025)

Detecting unknown intrusions from large heterogeneous data through ensemble learning. - Farah Jemili; Khaled Jouini; Ouajdi Korbaa (Intell. Syst. Appl., 2025)

Intelligent Control Agent For IoT Network Attack Detection: A Machine Learning Approach. - Hussam Hussein Abu Munshar; Farah Jemili; Ouajdi Korbaa; Mohammad Alauthman (IT Prof., 2025)

Deep learning for intrusion detection in IoT networks. - Mehdi Selem; Farah Jemili; Ouajdi Korbaa (Peer Peer Netw. Appl., 2025)