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2020 – today
- 2024
[j11]Ons Aouedi, Kandaraj Piamrat:
Toward a Scalable and Energy-Efficient Framework for Industrial Cloud-Edge-IoT Continuum. IEEE Internet Things Mag. 7(5): 14-20 (2024)- [c8]Ons Aouedi, Kandaraj Piamrat:
SURFS: Sustainable IntrUsion Detection with HieraRchical Federated Spiking Neural Networks. ICC 2024: 2173-2178 - [i3]Duc-Thinh Ngo, Kandaraj Piamrat, Ons Aouedi, Thomas Hassan, Philippe Raipin Parvédy:
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning. CoRR abs/2405.08843 (2024) - [i2]Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, Dinh C. Nguyen, Kandaraj Piamrat, Guido Marchetto, Quoc-Viet Pham:
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions. CoRR abs/2406.03820 (2024) - 2023
- [j10]Duc-Thinh Ngo
, Ons Aouedi, Kandaraj Piamrat, Thomas Hassan, Philippe Raipin Parvédy:
Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities. Future Internet 15(12): 377 (2023) - [j9]Ons Aouedi, Kandaraj Piamrat:
F-BIDS: Federated-Blending based Intrusion Detection System. Pervasive Mob. Comput. 89: 101750 (2023) - [j8]Ons Aouedi, Kandaraj Piamrat, Guillaume Muller, Kamal Deep Singh:
Federated Semisupervised Learning for Attack Detection in Industrial Internet of Things. IEEE Trans. Ind. Informatics 19(1): 286-295 (2023) - [j7]Ons Aouedi, Alessio Sacco, Kandaraj Piamrat, Guido Marchetto:
Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions. IEEE J. Biomed. Health Informatics 27(2): 790-803 (2023) - [c7]Ons Aouedi, Kandaraj Piamrat, Mario Südholt:
HFedSNN: Efficient Hierarchical Federated Learning using Spiking Neural Networks. MobiWac 2023: 53-60 - 2022
- [b1]Ons Aouedi:
Machine Learning-Enabled Network Traffic Analysis. (Analyse du trafic réseau basée sur l'apprentissage automatique). University of Nantes, France, 2022 - [j6]Ons Aouedi, Kandaraj Piamrat, Salima Hamma, Menuka Perera Jayasuriya Kuranage:
Network traffic analysis using machine learning: an unsupervised approach to understand and slice your network. Ann. des Télécommunications 77(5-6): 297-309 (2022) - [j5]Ons Aouedi, Kandaraj Piamrat, Dhruvjyoti Bagadthey:
Handling partially labeled network data: A semi-supervised approach using stacked sparse autoencoder. Comput. Networks 207: 108742 (2022) - [j4]Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Mamoun Alazab, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu:
Federated Learning for intrusion detection system: Concepts, challenges and future directions. Comput. Commun. 195: 346-361 (2022) - [j3]Ons Aouedi, Kandaraj Piamrat, Benoît Parrein:
Intelligent Traffic Management in Next-Generation Networks. Future Internet 14(2): 44 (2022) - [j2]Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Dinh C. Nguyen, Thien Huynh-The, Ons Aouedi, Gokul Yenduri, Sweta Bhattacharya, Thippa Reddy Gadekallu:
Incentive techniques for the Internet of Things: A survey. J. Netw. Comput. Appl. 206: 103464 (2022) - [j1]Ons Aouedi, Kandaraj Piamrat, Benoît Parrein:
Ensemble-Based Deep Learning Model for Network Traffic Classification. IEEE Trans. Netw. Serv. Manag. 19(4): 4124-4135 (2022) - [c6]Ons Aouedi, Kandaraj Piamrat, Guillaume Muller, Kamal Deep Singh:
FLUIDS: Federated Learning with semi-supervised approach for Intrusion Detection System. CCNC 2022: 523-524 - [c5]Ons Aouedi, Kandaraj Piamrat, Guillaume Muller, Kamal Deep Singh:
Intrusion detection for Softwarized Networks with Semi-supervised Federated Learning. ICC 2022: 5244-5249 - [c4]Ons Aouedi, Kandaraj Piamrat, Benoît Parrein:
Decision tree-based blending method using deep-learning for network management. NOMS 2022: 1-7 - 2021
- [c3]Ons Aouedi, Kandaraj Piamrat, Benoît Parrein:
Performance evaluation of feature selection and tree-based algorithms for traffic classification. ICC Workshops 2021: 1-6 - [i1]Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu:
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions. CoRR abs/2106.09527 (2021) - 2020
- [c2]Ons Aouedi, Kandaraj Piamrat, Dhruvjyoti Bagadthey:
A Semi-supervised Stacked Autoencoder Approach for Network Traffic Classification. ICNP 2020: 1-6
2010 – 2019
- 2018
- [c1]Ons Aouedi, Mohamed Anis Bach Tobji, Ajith Abraham:
An Ensemble of Deep Auto-Encoders for Healthcare Monitoring. HIS 2018: 96-105
Coauthor Index
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