An Ensemble of Deep Auto-Encoders for Healthcare Monitoring. - Ons Aouedi; Mohamed Anis Bach Tobji; Ajith Abraham (HIS, 2018)

A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification. - Ons Aouedi; Kandaraj Piamrat; Dhruvjyoti Bagadthey (ICNP, 2020)

Performance evaluation of feature selection and tree-based algorithms for traffic classification. - Ons Aouedi; Kandaraj Piamrat; Benoît Parrein (ICC Workshops, 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)

FLUIDS: Federated Learning with semi-supervised approach for Intrusion Detection System. - Ons Aouedi; Kandaraj Piamrat; Guillaume Muller 001; Kamal Deep Singh (CCNC, 2022)

Intrusion detection for Softwarized Networks with Semi-supervised Federated Learning. - Ons Aouedi; Kandaraj Piamrat; Guillaume Muller 001; Kamal Deep Singh (ICC, 2022)

Decision tree-based blending method using deep-learning for network management. - Ons Aouedi; Kandaraj Piamrat; Benoît Parrein (NOMS, 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)

Handling partially labeled network data: A semi-supervised approach using stacked sparse autoencoder. - Ons Aouedi; Kandaraj Piamrat; Dhruvjyoti Bagadthey (Comput. Networks, 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)

Intelligent Traffic Management in Next-Generation Networks. - Ons Aouedi; Kandaraj Piamrat; Benoît Parrein (Future Internet, 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)

Machine Learning-Enabled Network Traffic Analysis. (Analyse du trafic réseau basée sur l'apprentissage automatique). - Ons Aouedi (2022)

Ensemble-Based Deep Learning Model for Network Traffic Classification. - Ons Aouedi; Kandaraj Piamrat; Benoît Parrein (IEEE Trans. Netw. Serv. Manag., 2022)

HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks. - Ons Aouedi; Kandaraj Piamrat; Mario Südholt (MobiWac, 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)

Federated Semisupervised Learning for Attack Detection in Industrial Internet of Things. - Ons Aouedi; Kandaraj Piamrat; Guillaume Muller 001; Kamal Deep Singh (IEEE Trans. Ind. Informatics, 2023)

F-BIDS: Federated-Blending based Intrusion Detection System. - Ons Aouedi; Kandaraj Piamrat (Pervasive Mob. Comput., 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, 2023)

SURFS: Sustainable IntrUsion Detection with HieraRchical Federated Spiking Neural Networks. - Ons Aouedi; Kandaraj Piamrat (ICC, 2024)

METALS : seMi-supervised fEderaTed Active Learning for intrusion detection Systems. - Ons Aouedi; Gautam Jajoo; Kandaraj Piamrat (ISCC, 2024)

FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning. - Duc-Thinh Ngo; Kandaraj Piamrat; Ons Aouedi; Thomas Hassan; Philippe Raipin Parvédy (PIMRC, 2024)

Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges. - Ons Aouedi; Alessio Sacco; Latif U. Khan; Dinh C. Nguyen; Mohsen Guizani (IEEE Open J. Commun. Soc., 2024)

Toward a Scalable and Energy-Efficient Framework for Industrial Cloud-Edge-IoT Continuum. - Ons Aouedi; Kandaraj Piamrat (IEEE Internet Things Mag., 2024)

TUNE-FL: Adaptive Semi-Synchronous Semi-Decentralized Federated Learning. - Houssem Jmal; Kandaraj Piamrat; Ons Aouedi (CCNC, 2025)

GAIA-FL: Generative AI-Augmented Federated Learning for Intrusion Detection System. - Ons Aouedi; Alexandre Boissel; Kandaraj Piamrat (IWCMC, 2025)

Rethinking traffic prediction in Mobile Network Digital Twins: A flexible inductive graph-based learning model for data-scarce scenarios. - Duc-Thinh Ngo; Ons Aouedi; Kandaraj Piamrat; Thomas Hassan; Philippe Raipin Parvédy (Comput. Networks, 2025)

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions. - Ons Aouedi; Thai-Hoc Vu; Alessio Sacco; Dinh C. Nguyen; Kandaraj Piamrat; Guido Marchetto; Quoc-Viet Pham (IEEE Commun. Surv. Tutorials, 2025)

Deep Learning on Network Traffic Prediction: Recent Advances, Analysis, and Future Directions. - Ons Aouedi; Van An Le; Kandaraj Piamrat; Yusheng Ji (ACM Comput. Surv., 2025)