Angelo Feraudo

According to our database, Angelo Feraudo authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Mitigating IoT Botnet DDoS Attacks through MUD and eBPF based Traffic Filtering.

Angelo Feraudo, Diana Andreea Popescu, Poonam Yadav, Richard Mortier, Paolo Bellavista

Proceedings of the 25th International Conference on Distributed Computing and Networking, 2024

2023

A Novel Design for Advanced 5G Deployment Environments with Virtualized Resources at Vehicular and MEC Nodes.

Angelo Feraudo, Alessandro Calvio, Armir Bujari, Paolo Bellavista

Proceedings of the IEEE Vehicular Networking Conference, 2023

A Novel OMNeT++-Based Simulation Tool for Vehicular Cloud Computing in ETSI MEC-Compliant 5G Environments.

Angelo Feraudo, Alessandro Calvio, Paolo Bellavista

Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, 2023

PhD Forum Abstract: Vehicular-based Support to Cooperative Edge Computing based Applications in Next-gen Networks.

Angelo Feraudo

Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

2021

Defining the Behavior of IoT Devices Through the MUD Standard: Review, Challenges, and Research Directions.

José Luis Hernández Ramos, Sara Nieves Matheu, Angelo Feraudo, Gianmarco Baldini, Jorge Bernal Bernabé, Poonam Yadav, Antonio F. Skarmeta, Paolo Bellavista

IEEE Access, 2021

2020

SoK: Beyond IoT MUD Deployments - Challenges and Future Directions.

Angelo Feraudo, Poonam Yadav, Richard Mortier, Paolo Bellavista, Jon Crowcroft

CoRR, 2020

Position paper: A systematic framework for categorising IoT device fingerprinting mechanisms.

Poonam Yadav, Angelo Feraudo, Budi Arief, Siamak F. Shahandashti, Vassilios G. Vassilakis

Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020

CoLearn: enabling federated learning in MUD-compliant IoT edge networks.

Angelo Feraudo, Poonam Yadav, Vadim Safronov, Diana Andreea Popescu, Richard Mortier, Shiqiang Wang, Paolo Bellavista, Jon Crowcroft

Proceedings of the 3rd International Workshop on Edge Systems, Analytics and Networking, 2020