| 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 | 158 | 2020 |
| 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 | 71 | 2019 |
| 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 | 59 | 2021 |
| 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 | 26 | 2021 |
| 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 | 25 | 2020 |
| Packet-level prediction of mobile-app traffic using multitask deep learning A Montieri, G Bovenzi, G Aceto, D Ciuonzo, V Persico, A Pescapè Computer Networks 200, 108529, 2021 | 23 | 2021 |
| 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 | 21 | 2018 |
| 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 IEEE International Workshop on Measurements and Networking Proceedings (M&N), 2022 | 18 | 2022 |
| 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 | 17 | 2023 |
| 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 | 14 | 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 IEEE Symposium on Computers and Communications (ISCC) 22, 2022 | 13 | 2022 |
| 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, 2023 | 6 | 2023 |
| 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 |
| 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 |
| 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 | 1 | 2023 |
| 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, 110374, 2024 | | 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 | | 2023 |
| Synergy-Net: Artificial Intelligence at the Service of Oncological Prevention R Bollino, G Bovenzi, F Cipolletta, L Docimo, M Gravina, S Marrone, ... Handbook of Artificial Intelligence in Healthcare: Vol. 1-Advances and …, 2022 | | 2022 |
Antonio PescapèProfessor, University of Napoli Federico II / Università di Napoli Federico IIEmail verificata su unina.it
