Farah Jemili

According to our database, Farah Jemili authored at least 31 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Intrusion detection based on ensemble learning for big data classification.

Farah Jemili, Rahma Meddeb, Ouajdi Korbaa

Clust. Comput., June, 2024

Intrusion detection in cyber-physical system using rsa blockchain technology.

Ahmed Aljabri, Farah Jemili, Ouajdi Korbaa

Multim. Tools Appl., May, 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., April, 2024

Active intrusion detection and prediction based on temporal big data analytics.

Farah Jemili, Ouajdi Korbaa

Int. J. Knowl. Based Intell. Eng. Syst., 2024

2023

Intelligent intrusion detection based on fuzzy Big Data classification.

Farah Jemili

Clust. Comput., December, 2023

Towards data fusion-based big data analytics for intrusion detection.

Farah Jemili

J. Inf. Telecommun., October, 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., October, 2023

A deep learning-based intrusion detection approach for mobile Ad-hoc network.

Rahma Meddeb, Farah Jemili, Bayrem Triki, Ouajdi Korbaa

Soft Comput., July, 2023

Intrusion Detection based on Incremental Learning.

Islem Chouchen, Farah Jemili

Proceedings of the International Conference on Cyberworlds, 2023

Towards Deep Learning and Blockchain-based Intrusion Detection System.

Mohamed Ala Eddine Bahri, Farah Jemili, Ouajdi Korbaa

Proceedings of the International Conference on Cyberworlds, 2023

2022

Ensemble Learning Based Big Data Classification for Intrusion Detection.

Kamel Yasmine Kamel, Farah Jemili, Rahma Meddeb

Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Distributed Architecture of an Intrusion Detection System in Industrial Control Systems.

Ahlem Abid, Farah Jemili, Ouajdi Korbaa

Proceedings of the Advances in Computational Collective Intelligence, 2022

2021

A Multi-Agent-Based System for Intrusion Detection.

Tesnim Younes, Farah Jemili

Proceedings of the Agents and Multi-Agent Systems: Technologies and Applications 2021, 2021

A Deep Learning Approach for Intrusion Detection.

Roua Dhahbi, Farah Jemili

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

Intrusion Detection based on Graph oriented Big Data Analytics.

Ahlem Abid, Farah Jemili

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

A new features vector matching for big heterogeneous data in intrusion detection context.

Marwa Elayni, Farah Jemili, Ouajdi Korbaa, Basel Solaiman

Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2019

Comparative Study between Big Data Analysis Techniques in Intrusion Detection.

Mounir Hafsa, Farah Jemili

Big Data Cogn. Comput., 2019

Anomaly-based Behavioral Detection in Mobile Ad-Hoc Networks^⁎.

Rahma Meddeb, Farah Jemili, Bayrem Triki, Ouajdi Korbaa

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019

Dataset for Intrusion Detection in Mobile Ad-Hoc Networks.

Rahma Meddeb, Bayrem Triki, Farah Jemili, Ouajdi Korbaa

Proceedings of the Intelligent Systems Design and Applications, 2019

Distributed Architecture of Snort IDS in Cloud Environment.

Mondher Essid, Farah Jemili, Ouajdi Korbaa

Proceedings of the Intelligent Systems Design and Applications, 2019

Big Data Processing for Intrusion Detection System Context: A Review.

Marwa Elayni, Farah Jemili, Ouajdi Korbaa, Basel Solaiman

Proceedings of the Intelligent Systems Design and Applications, 2019

2018

An Effective IDS Against Routing Attacks on Mobile Ad-Hoc Networks.

Rahma Meddeb, Bayrem Triki, Farah Jemili, Ouajdi Korbaa

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

2017

Neuro-fuzzy and genetic-fuzzy based approaches in intrusion detection: Comparative study.

Imen Gaied, Farah Jemili, Ouajdi Korbaa

Proceedings of the 25th International Conference on Software, 2017

2016

Combining intrusion detection datasets using MapReduce.

Mondher Essid, Farah Jemili

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Genetic-Fuzzy Classification Approach to Improve High-Dimensional Intrusion Detection System.

Imen Gaied, Farah Jemili, Ouajdi Korbaa

Proceedings of the Intelligent Systems Design and Applications, 2016

Intrusion detection based on genetic fuzzy classification system.

Mariem Belhor, Farah Jemili

Proceedings of the 13th IEEE/ACS International Conference of Computer Systems and Applications, 2016

2015

Intrusion detection based on Neuro-Fuzzy classification.

Imen Gaied, Farah Jemili, Ouajdi Korbaa

Proceedings of the 12th IEEE/ACS International Conference of Computer Systems and Applications, 2015

2009

Hybrid Intrusion Detection and Prediction multiAgent System HIDPAS

Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed

CoRR, 2009

Intrusion detection based on "Hybrid" propagation in Bayesian Networks.

Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2009

2007

A Framework for an Adaptive Intrusion Detection System using Bayesian Network.

Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed

Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007

2006

Comparative Study between Bayesian Network and Possibilistic Network in Intrusion Detection.

Najla Arfaoui, Farah Jemili, Montaceur Zaghdoud, Mohamed Ben Ahmed

Proceedings of the SECRYPT 2006, 2006