Northeastern University Wireless Networks and Embedded Systems Lab


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Biography

Angelo Feraudo received the M.Sc. degree in Computer Engineering from the University of Bologna, Italy, in 2020. Currently, he is pursuing his Ph.D. in Computer Science and Engineering at the University of Bologna, where he collaborates with the Mobile Middleware Research Group. Previously, he worked as a research visitor at the Department of Computer Science and Technology, University of Cambridge, and more recently at the Department of Computer Science, University of York, where he conducted research on data privacy and security in distributed and mobile systems. His research interests include vehicular networks, next-generation networks (5G/6G) and vehicular computing integration in cloud-continuum spectrum.

Research Interests

  • Vehicular Networking

  • O-RAN 5G networks

  • Multi-Access Edge Computing (MEC)

  • Vehicular Cloud Computing

  • Security and Privacy in Vehicular Networks

Publications

Articles in Conference Proceedings

  • Feraudo, A., Popescu, D. A., Yadav, P., Mortier, R., & Bellavista, P. "Mitigating IoT Botnet DDoS Attacks through MUD and eBPF based Traffic Filtering, " in Proceedings of the 25th International Conference on Distributed Computing and Networking (ICDCN '24). Association for Computing Machinery, New York, NY, USA, (164–173). [pdf] [bibtex]

  • Feraudo, A.; Calvio, A. and Bellavista, P. "A Novel OMNeT++-Based Simulation Tool for Vehicular Cloud Computing in ETSI MEC-Compliant 5G Environments, " in Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH '23). SciTePress, pages (448-455). [pdf] [bibtex]

  • Feraudo, A. "PhD Forum Abstract: Support to Cooperative Edge Computing based Applications in Next-gen Networks," in Proceedings of the 22nd International Conference on Information Processing in Sensor Networks (IPSN '23). (pp. 352-353). [pdf] [bibtex]

  • Feraudo, A., Calvio, A., Bujari, A., & Bellavista, P. " A novel design for advanced 5G deployment environments with virtualized resources at vehicular and MEC nodes," in 2023 IEEE Vehicular Networking Conference (VNC), Istanbul, Turkiye, 2023, pp. 97-103. [pdf] [bibtex]

  • Poonam Yadav, Angelo Feraudo, Budi Arief, Siamak F. Shahandashti, and Vassilios G. Vassilakis. "Position paper: A systematic framework for categorising IoT device fingerprinting mechanisms," in Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT '20). Association for Computing Machinery, New York, NY, USA, (62–68). [pdf] [bibtex]

  • Feraudo, A., Yadav, P., Safronov, V., Popescu, D. A., Mortier, R., Wang, S., Bellavista, P., & Crowcroft, J. "CoLearn: Enabling federated learning in MUD-compliant IoT edge networks," in Proceedings of the Third ACM International Workshop on Edge Systems, Analytics and Networking (EdgeSys '20). Association for Computing Machinery, New York, NY, USA, (25–30). [pdf] [bibtex]

Articles in Journals

  • Feraudo, A., Romandini, N., Mazzocca, C., Montanari, R., & Bellavista, P. " DIVA: A DID-based reputation system for secure transmission in VANETs using IOTA, " in Computer Networks, 110332. [pdf] [bibtex]

  • Feraudo, A., Calvio, A., & Bellavista, P. " Simulating and Validating Vehicular Cloud Computing Applications in MEC-enabled 5G Environments," in Journal of Simulation Engineering, 4, 9-1. [pdf] [bibtex]

  • Hernández-Ramos, J. L., Matheu, S. N., Feraudo, A., Baldini, G., Bernabe, J. B., Yadav, P., ... & Bellavista, P. " Defining the behavior of IoT devices through the mud standard: Review, challenges, and research directions," in IEEE Access, 9, 126265-126285. [pdf] [bibtex]

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