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Francesco Cerasuolo
Francesco Cerasuolo
PhD Student, Department of Electrical Engineering and Information Technology (D.I.E.T.I.)
Verified email at unina.it
Title
Cited by
Cited by
Year
Machine and deep learning approaches for IoT attack classification
A Nascita, F Cerasuolo, D Di Monda, JTA Garcia, A Montieri, A Pescape
IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022
502022
A comparison of machine and deep learning models for detection and classification of android malware traffic
G Bovenzi, F Cerasuolo, A Montieri, A Nascita, V Persico, A Pescapé
2022 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2022
162022
Adaptive intrusion detection systems: Class incremental learning for IoT emerging threats
F Cerasuolo, G Bovenzi, C Marescalco, F Cirillo, D Ciuonzo, A Pescapè
2023 IEEE International Conference on Big Data (BigData), 3547-3555, 2023
112023
MEMENTO: A novel approach for class incremental learning of encrypted traffic
F Cerasuolo, A Nascita, G Bovenzi, G Aceto, D Ciuonzo, A Pescapè, ...
Computer Networks 245, 110374, 2024
62024
Explainable mobile traffic classification: the case of incremental learning
A Nascita, F Cerasuolo, G Aceto, D Ciuonzo, V Persico, A Pescapé
Proceedings of the 2023 on Explainable and Safety Bounded, Fidelitous …, 2023
62023
XAI for interpretable multimodal architectures with contextual input in mobile network traffic classification
F Cerasuolo, I Guarino, V Spadari, G Aceto, A Pescapé
2024 IFIP Networking Conference (IFIP Networking), 757-762, 2024
32024
Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning
L Pappone, F Cerasuolo, V Persico, D Ciuonzo, A Pescapè, F Esposito
2022 IFIP Networking Conference (IFIP Networking), 1-6, 2022
12022
Adaptable, incremental, and explainable network intrusion detection systems for internet of things
F Cerasuolo, G Bovenzi, D Ciuonzo, A Pescapè
Engineering Applications of Artificial Intelligence 144, 110143, 2025
2025
Mapping the Landscape of Generative AI in Network Monitoring and Management
G Bovenzi, F Cerasuolo, D Ciuonzo, D Di Monda, I Guarino, A Montieri, ...
arXiv preprint arXiv:2502.08576, 2025
2025
Unlocking the Potential of IoT, AI, and Blockchain in Transforming Public and Private Industries
A Rahman, T Debnath, D Kundu, F Cerasuolo, MJ Islam, M Rahman, ...
Cambridge Scholars Publishing, 2024
2024
Explainable Few-Shot Class Incremental Learning for Mobile Network Traffic Classification
F Cerasuolo, G Bovenzi, V Spadari, D Ciuonzo, A Pescape
2024 IEEE Global Communications Conference (GLOBECOM), 2024
2024
An MLOps Framework for Explainable Network Intrusion Detection with MLflow
V Spadari, F Cerasuolo, G Bovenzi, A Pescapè
29th IEEE Symposium on Computers and Communications (ISCC) 2024, 2024
2024
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