Ons Aouedi

According to our database, Ons Aouedi authored at least 19 papers between 2018 and 2023.

Collaborative distances:

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

2023

Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions.

Ons Aouedi, Alessio Sacco, Kandaraj Piamrat, Guido Marchetto

IEEE J. Biomed. Health Informatics, February, 2023

F-BIDS: Federated-Blending based Intrusion Detection System.

Ons Aouedi, Kandaraj Piamrat

Pervasive Mob. Comput., February, 2023

Federated Semisupervised Learning for Attack Detection in Industrial Internet of Things.

Ons Aouedi, Kandaraj Piamrat, Guillaume Muller, Kamal Deep Singh

IEEE Trans. Ind. Informatics, 2023

Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities.

Duc-Thinh Ngo, Ons Aouedi, Kandaraj Piamrat, Thomas Hassan, Philippe Raipin Parvédy

Future Internet, 2023

HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks.

Ons Aouedi, Kandaraj Piamrat, Mario Südholt

Proceedings of the Int'l ACM Symposium on Mobility Management and Wireless Access, 2023

2022

Ensemble-Based Deep Learning Model for Network Traffic Classification.

Ons Aouedi, Kandaraj Piamrat, Benoît Parrein

IEEE Trans. Netw. Serv. Manag., December, 2022

Machine Learning-Enabled Network Traffic Analysis. (Analyse du trafic réseau basée sur l'apprentissage automatique).

Ons Aouedi

PhD thesis, 2022

Incentive techniques for the Internet of Things: A survey.

Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The, Ons Aouedi, Gokul Yenduri, Sweta Bhattacharya, Thippa Reddy Gadekallu

J. Netw. Comput. Appl., 2022

Intelligent Traffic Management in Next-Generation Networks.

Ons Aouedi, Kandaraj Piamrat, Benoît Parrein

Future Internet, 2022

Federated Learning for intrusion detection system: Concepts, challenges and future directions.

Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Mamoun Alazab, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu

Comput. Commun., 2022

Handling partially labeled network data: A semi-supervised approach using stacked sparse autoencoder.

Ons Aouedi, Kandaraj Piamrat, Dhruvjyoti Bagadthey

Comput. Networks, 2022

Network traffic analysis using machine learning: an unsupervised approach to understand and slice your network.

Ons Aouedi, Kandaraj Piamrat, Salima Hamma, Menuka Perera Jayasuriya Kuranage

Ann. des Télécommunications, 2022

Decision tree-based blending method using deep-learning for network management.

Ons Aouedi, Kandaraj Piamrat, Benoît Parrein

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

Intrusion detection for Softwarized Networks with Semi-supervised Federated Learning.

Ons Aouedi, Kandaraj Piamrat, Guillaume Muller, Kamal Deep Singh

Proceedings of the IEEE International Conference on Communications, 2022

FLUIDS: Federated Learning with semi-supervised approach for Intrusion Detection System.

Ons Aouedi, Kandaraj Piamrat, Guillaume Muller, Kamal Deep Singh

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2021

Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions.

Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu

CoRR, 2021

Performance evaluation of feature selection and tree-based algorithms for traffic classification.

Ons Aouedi, Kandaraj Piamrat, Benoît Parrein

Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020

A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification.

Ons Aouedi, Kandaraj Piamrat, Dhruvjyoti Bagadthey

Proceedings of the 28th IEEE International Conference on Network Protocols, 2020

2018

An Ensemble of Deep Auto-Encoders for Healthcare Monitoring.

Ons Aouedi, Mohamed Anis Bach Tobji, Ajith Abraham

Proceedings of the Hybrid Intelligent Systems, 2018