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Francesco Cerasuolo
Francesco Cerasuolo
PhD Student, Department of Electrical Engineering and Information Technology (D.I.E.T.I.)
Bestätigte E-Mail-Adresse bei unina.it
Titel
Zitiert von
Zitiert von
Jahr
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
432022
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
142022
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
52023
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
42023
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
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
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), 0
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, 0
XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification
F Cerasuolo, I Guarino, V Spadari, G Aceto, A Pescapé
1st International Workshop on Trustworthy and eXplainable Artificial …, 0
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