| Federated learning for intrusion detection system: Concepts, challenges and future directions S Agrawal, S Sarkar, O Aouedi, G Yenduri, K Piamrat, M Alazab, ... Computer Communications 195, 346-361, 2022 | 278 | 2022 |
| Federated semisupervised learning for attack detection in industrial Internet of Things O Aouedi, K Piamrat, G Muller, K Singh IEEE Transactions on Industrial Informatics 19 (1), 286-295, 2022 | 99 | 2022 |
| Handling privacy-sensitive medical data with federated learning: challenges and future directions O Aouedi, A Sacco, K Piamrat, G Marchetto IEEE journal of biomedical and health informatics 27 (2), 790-803, 2022 | 81 | 2022 |
| Incentive techniques for the internet of things: a survey PKR Maddikunta, QV Pham, DC Nguyen, T Huynh-The, O Aouedi, ... Journal of Network and Computer Applications 206, 103464, 2022 | 71 | 2022 |
| A semi-supervised stacked autoencoder approach for network traffic classification O Aouedi, K Piamrat, D Bagadthey 2020 IEEE 28th International Conference on Network Protocols (ICNP), 1-6, 2020 | 52 | 2020 |
| FLUIDS: Federated Learning with semi-supervised approach for Intrusion Detection System O Aouedi, K Piamrat, G Muller, K Singh 2022 IEEE Consumer Communications & Networking Conference (CCNC), 523-524, 2022 | 45 | 2022 |
| Intelligent traffic management in next-generation networks O Aouedi, K Piamrat, B Parrein Future internet 14 (2), 44, 2022 | 40 | 2022 |
| F-bids: Federated-blending based intrusion detection system O Aouedi, K Piamrat Pervasive and Mobile Computing 89, 101750, 2023 | 35 | 2023 |
| Performance evaluation of feature selection and tree-based algorithms for traffic classification O Aouedi, K Piamrat, B Parrein 2021 IEEE International Conference on Communications Workshops (ICC Workshops), 2021 | 32 | 2021 |
| Network Traffic Analysis using Machine Learning: an unsupervised approach to understand and slice your network O Aouedi, K Piamrat, S Hamma, JKM Perera Annals of Telecommunications, 2021 | 32 | 2021 |
| A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions O Aouedi, TH Vu, A Sacco, DC Nguyen, K Piamrat, G Marchetto, ... IEEE Communications Surveys & Tutorials, 2024 | 30 | 2024 |
| Intrusion detection for softwarized networks with semi-supervised federated learning O Aouedi, K Piamrat, G Muller, K Singh ICC 2022-IEEE International Conference on Communications, 5244-5249, 2022 | 30 | 2022 |
| Ensemble-based deep learning model for network traffic classification O Aouedi, K Piamrat, B Parrein IEEE Transactions on Network and Service Management 19 (4), 4124-4135, 2022 | 27 | 2022 |
| Potential of Deep Learning Algorithms in Mitigating The Spread of COVID-19 OA Sarumi, O Aouedi, LJ Muhammad Understanding COVID-19: The Role of Computational Intelligence, 2021 | 21 | 2021 |
| An ensemble of deep auto-encoders for healthcare monitoring O Aouedi, MA Bach Tobji, A Abraham Hybrid Intelligent Systems: 18th International Conference on Hybrid …, 2020 | 17 | 2020 |
| Internet of things and ambient intelligence for mobile health monitoring: A review of a decade of research O Aouedi, MAB Tobji, A Abraham International Journal of Computer Information Systems and Industrial …, 2018 | 12 | 2018 |
| Handling partially labeled network data: A semi-supervised approach using stacked sparse autoencoder O Aouedi, K Piamrat, D Bagadthey Computer Networks 207, 108742, 2022 | 11 | 2022 |
| Federated learning for intrusion detection system: Concepts, challenges and future directions. arXiv 2021 S Agrawal, S Sarkar, O Aouedi, G Yenduri, K Piamrat, S Bhattacharya, ... arXiv preprint arXiv:2106.09527, 0 | 11 | |
| HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks O Aouedi, K Piamrat, M Sûdholt Proceedings of the Int'l ACM Symposium on Mobility Management and Wireless …, 2023 | 9 | 2023 |
| SURFS: Sustainable intrUsion detection with hieraRchical Federated Spiking neural networks O Aouedi, K Piamrat ICC 2024-IEEE International Conference on Communications, 2024 | 5 | 2024 |
Kandaraj PiamratAssociate Professor, Nantes University, LS2N, INRIAEmail verificata su univ-nantes.fr
