Παρακολούθηση
Francesco Cerasuolo
Francesco Cerasuolo
PhD Student, Department of Electrical Engineering and Information Technology (D.I.E.T.I.)
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα unina.it
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Παρατίθεται από
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Machine and deep learning approaches for IoT attack classification
A Nascita, F Cerasuolo, D Di Monda, JTA Garcia, A Montieri, A Pescapè
IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022
342022
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
132022
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
22023
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
12023
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
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
2024
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