| 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 |
| On the use of machine learning approaches for the early classification in network intrusion detection I Guarino, G Bovenzi, D Di Monda, G Aceto, D Ciuonzo, A Pescapé 2022 IEEE International Symposium on Measurements & Networking (M&N), 1-6, 2022 | 19 | 2022 |
| Few shot learning approaches for classifying rare mobile-app encrypted traffic samples G Bovenzi, D Di Monda, A Montieri, V Persico, A Pescapé IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops …, 2023 | 4 | 2023 |
| Classifying attack traffic in IoT environments via few-shot learning G Bovenzi, D Di Monda, A Montieri, V Persico, A Pescapè Journal of Information Security and Applications 83, 103762, 2024 | | 2024 |
| Supporting Criminal Investigations on the Blockchain: A Temporal Logic-based Approach M Blanchini, M Cerreta, D Di Monda, M Fabbri, M Raciti, HS Ahmad, ... | | 2024 |
| IoT Botnet-Traffic Classification Using Few-Shot Learning D Di Monda, G Bovenzi, A Montieri, V Persico, A Pescapè 2023 IEEE International Conference on Big Data (BigData), 3284-3293, 2023 | | 2023 |
| META MIMETIC: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning G Bovenzi, D Di Monda, A Montieri, V Persico, A Pescapé 35th International Teletraffic Congress (ITC-35), 1 - 9, 2023 | | 2023 |
