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 | 34 | 2022 |
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 | 13 | 2022 |
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 | 2 | 2023 |
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 | 1 | 2023 |
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 | 1 | 2022 |
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 |