• 🔭 Contributions on Cilium ebpf-go, IOVisor BCC, CrownLabs, Polycube, KubernetesOnDesktop, DeChainy, INTELLECT.

• 👨‍💻 All of my projects are available on my profile (archived old university assignments)

• 📫 How to reach me [email protected]

• 📄 Know about my experiences https://smagnani96.github.io

[1] S. Magnani, F. Risso and D. Siracusa, "A Control Plane Enabling Automated and Fully Adaptive Network Traffic Monitoring With eBPF," in IEEE Access, vol. 10, pp. 90778-90791, 2022

[2] R. Doriguzzi-Corin, S. Cretti, T. Catena, S. Magnani, and D. Siracusa, "Towards Application-Aware Provisioning of Security Services with Kubernetes," in Proc. of 2022 NetSoft, pp. 284-286

[3] S. Magnani, R. Doriguzzi-Corin and D. Siracusa, "Enhancing Network Intrusion Detection: An Online Methodology for Performance Analysis," in Proc. of 2023 IEEE NetSoft, pp. 510-515

[4] S. Magnani, S. Braghin, A. Rawat, R. Doriguzzi-Corin, M. Purcell, and D. Siracusa, "Pruning Federated Learning Models for Anomaly Detection in Resource-Constrained Environments," in Proc. of 2023 IEEE BigData pp. 3274-3283

[5] Ongoing - S. Magnani, S. Braghin, L. Nedoshivina, R. Doriguzzi-Corin, and D. Siracusa, “INTELLECT: Federated Learning for Adaptable Intrusion Detection Systems”, preprint in arXiv, submitter to Elsevier Computer&Security

[6] Accepted - S. Magnani, S. Braghin, S. Tirupathi, R. Doriguzzi-Corin, and D. Siracusa, “Online Learning and Model Pruning Against Concept Drifts in Edge Devices,” in Proc. of 2024 NetSoft