Farah Jemili

38 papers B 3C 14Misc 2Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep learning for intrusion detection in IoT networks.
Peer Peer Netw. Appl.
Mehdi Selem, Farah Jemili, Ouajdi Korbaa
2025 J jnl
Detecting unknown intrusions from large heterogeneous data through ensemble learning.
Intell. Syst. Appl.
Farah Jemili, Khaled Jouini, Ouajdi Korbaa
2025 J jnl
Improved human activity recognition through controllable GAN-Generated synthetic data and large Language models for classification.
Clust. Comput.
Mohamed Hedi Djemaa, Farah Jemili, Imen Megdiche, Rafika Thabet, Elyes Lamine, Ouajdi Korbaa
2025 J jnl
Intelligent Control Agent For IoT Network Attack Detection: A Machine Learning Approach.
IT Prof.
Hussam Hussein Abu Munshar, Farah Jemili, Ouajdi Korbaa, Mohammad Alauthman
2025 J jnl
Intrusion detection based on concept drift detection and online incremental learning.
Int. J. Pervasive Comput. Commun.
Farah Jemili, Khaled Jouini, Ouajdi Korbaa
2024 C conf
A Deep Learning System for Early Detection of Diabetic Retinopathy.
AICCSA
Mayssa Emmales, Farah Jemili, Ouajdi Korbaa, Ferid Kamel
2024 J jnl
Active intrusion detection and prediction based on temporal big data analytics.
Int. J. Knowl. Based Intell. Eng. Syst.
Farah Jemili, Ouajdi Korbaa
2024 C conf
Enhanced Human Activity Recognition Using Controllable GANs for Synthetic Data Generation.
AICCSA
Mohamed Hedi Djemaa, Imen Megdiche, Farah Jemili, Rafika Thabet, Elyes Lamine, Ouajdi Korbaa
2024 J jnl
Intrusion detection based on ensemble learning for big data classification.
Clust. Comput.
Farah Jemili, Rahma Meddeb, Ouajdi Korbaa
2024 J jnl
Intrusion detection in cyber-physical system using rsa blockchain technology.
Multim. Tools Appl.
Ahmed Aljabri, Farah Jemili, Ouajdi Korbaa
2024 J jnl
Real-time data fusion for intrusion detection in industrial control systems based on cloud computing and big data techniques.
Clust. Comput.
Ahlem Abid, Farah Jemili, Ouajdi Korbaa
2023 J jnl
A deep learning-based intrusion detection approach for mobile Ad-hoc network.
Soft Comput.
Rahma Meddeb, Farah Jemili, Bayrem Triki, Ouajdi Korbaa
2023 J jnl
Distributed deep learning approach for intrusion detection system in industrial control systems based on big data technique and transfer learning.
J. Inf. Telecommun.
Ahlem Abid, Farah Jemili, Ouajdi Korbaa
2023 J jnl
Intelligent intrusion detection based on fuzzy Big Data classification.
Clust. Comput.
Farah Jemili
2023 C conf
Intrusion Detection based on Incremental Learning.
CW
Islem Chouchene, Farah Jemili
2023 C conf
Towards Deep Learning and Blockchain-based Intrusion Detection System.
CW
Mohamed Ala Eddine Bahri, Farah Jemili, Ouajdi Korbaa
2023 J jnl
Towards data fusion-based big data analytics for intrusion detection.
J. Inf. Telecommun.
Farah Jemili
2022 — conf
Distributed Architecture of an Intrusion Detection System in Industrial Control Systems.
ICCCI (CCIS Volume)
Ahlem Abid, Farah Jemili, Ouajdi Korbaa
2022 — conf
Ensemble Learning Based Big Data Classification for Intrusion Detection.
ISDA (1)
Kamel Yasmine Kamel, Farah Jemili, Rahma Meddeb
2021 — conf
A Deep Learning Approach for Intrusion Detection.
HPCC/DSS/SmartCity/DependSys
Roua Dhahbi, Farah Jemili
2021 — conf
A Multi-Agent-Based System for Intrusion Detection.
KES-AMSTA
Tesnim Younes, Farah Jemili
2020 Misc conf
A new features vector matching for big heterogeneous data in intrusion detection context.
ATSIP
Marwa Elayni, Farah Jemili, Ouajdi Korbaa, Basel Solaiman
2020 B conf
Intrusion Detection based on Graph oriented Big Data Analytics.
KES
Ahlem Abid, Farah Jemili
2019 B conf
Anomaly-based Behavioral Detection in Mobile Ad-Hoc Networks
KES
Rahma Meddeb, Farah Jemili, Bayrem Triki, Ouajdi Korbaa
2019 C conf
Big Data Processing for Intrusion Detection System Context: A Review.
ISDA
Marwa Elayni, Farah Jemili, Ouajdi Korbaa, Basel Solaiman
2019 J jnl
Comparative Study between Big Data Analysis Techniques in Intrusion Detection.
Big Data Cogn. Comput.
Mounir Hafsa, Farah Jemili
2019 C conf
Dataset for Intrusion Detection in Mobile Ad-Hoc Networks.
ISDA
Rahma Meddeb, Bayrem Triki, Farah Jemili, Ouajdi Korbaa
2019 C conf
Distributed Architecture of Snort IDS in Cloud Environment.
ISDA
Mondher Essid, Farah Jemili, Ouajdi Korbaa
2018 C conf
An Effective IDS Against Routing Attacks on Mobile Ad-Hoc Networks.
SoMeT
Rahma Meddeb, Bayrem Triki, Farah Jemili, Ouajdi Korbaa
2017 Misc conf
Neuro-fuzzy and genetic-fuzzy based approaches in intrusion detection: Comparative study.
SoftCOM
Imen Gaied, Farah Jemili, Ouajdi Korbaa
2016 C conf
A Genetic-Fuzzy Classification Approach to Improve High-Dimensional Intrusion Detection System.
ISDA
Imen Gaied, Farah Jemili, Ouajdi Korbaa
2016 B conf
Combining intrusion detection datasets using MapReduce.
SMC
Mondher Essid, Farah Jemili
2016 C conf
Intrusion detection based on genetic fuzzy classification system.
AICCSA
Mariem Belhor, Farah Jemili
2015 C conf
Intrusion detection based on Neuro-Fuzzy classification.
AICCSA
Imen Gaied, Farah Jemili, Ouajdi Korbaa
2009 J jnl
Hybrid Intrusion Detection and Prediction multiAgent System HIDPAS
CoRR
Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed
2009 C conf
Intrusion detection based on "Hybrid" propagation in Bayesian Networks.
ISI
Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed
2007 C conf
A Framework for an Adaptive Intrusion Detection System using Bayesian Network.
ISI
Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed
2006 C conf
Comparative Study between Bayesian Network and Possibilistic Network in Intrusion Detection.
SECRYPT
Najla Arfaoui, Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed