| A Big Data-enabled Hierarchical Framework for Traffic Classification G Bovenzi, G Aceto, D Ciuonzo, V Persico, A Pescapé IEEE Transactions on Network Science and Engineering, 2020 | 28 | 2020 |
| 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 IEEE Symposium on Computers and Communications (ISCC) 22, 2022 | 13 | 2022 |
| A dive into the dark web: Hierarchical traffic classification of anonymity tools A Montieri, D Ciuonzo, G Bovenzi, V Persico, A Pescapé IEEE transactions on network science and engineering 7 (3), 1043-1054, 2019 | 73 | 2019 |
| A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification G Bovenzi, L Yang, A Finamore, G Aceto, D Ciuonzo, A Pescapè, D Rossi Proc. IFIP Traffic Monitor. Anal.(TMA), 2021 | 27 | 2021 |
| A hierarchical hybrid intrusion detection approach in IoT scenarios G Bovenzi, G Aceto, D Ciuonzo, V Persico, A Pescapé GLOBECOM 2020-2020 IEEE global communications conference, 1-7, 2020 | 173 | 2020 |
| 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 | 4 | 2023 |
| An MLOps Framework for Explainable Network Intrusion Detection with MLflow V Spadari, F Cerasuolo, G Bovenzi, A Pescapè | | |
| Benchmarking class incremental learning in deep learning traffic classification G Bovenzi, A Nascita, L Yang, A Finamore, G Aceto, D Ciuonzo, ... IEEE Transactions on Network and Service Management 21 (1), 51-69, 2023 | 7 | 2023 |
| Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions G Bovenzi, G Aceto, V Persico, A Pescapé Journal of Industrial Information Integration, 100513, 2023 | 3 | 2023 |
| Characterization and prediction of mobile-app traffic using Markov modeling G Aceto, G Bovenzi, D Ciuonzo, A Montieri, V Persico, A Pescapé IEEE Transactions on Network and Service Management 18 (1), 907-925, 2021 | 65 | 2021 |
| 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 |
| Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis G Bovenzi, A Foggia, S Santella, A Testa, V Persico, A Pescapé 2022 International Conference on Communications (ICC22), 2022 | 18 | 2022 |
| Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples G Bovenzi, D Di Monda, A Montieri, V Persico, A Pescapè IEEE International Conference on Computer Communications (INFOCOM23), 2023 | 4 | 2023 |
| Hierarchical Classification of Android Malware Traffic G Bovenzi, V Persico, A Pescapé, A Piscitelli, V Spadari 2022 IEEE TrustCom International Workshop on Cyberspace Security and …, 2022 | 3 | 2022 |
| Hypergraph Database G Bovenzi | | 2016 |
| 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 |
| IoT-enabled distributed detection of a nuclear radioactive source via generalized score tests G Bovenzi, D Ciuonzo, V Persico, A Pescapè, PS Rossi International symposium on signal processing and intelligent recognition …, 2018 | 20 | 2018 |
| 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 | 1 | 2024 |
| 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 | | 2023 |
| Network Anomaly Detection Methods in IoT Environments via Deep Learning: A Fair Comparison of Performance and Robustness G Bovenzi, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapé Computers & Security, 103167, 2023 | 28 | 2023 |
Antonio PescapèProfessor, University of Napoli Federico II / Università di Napoli Federico II在 unina.it 的电子邮件经过验证
