| 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 |
| BlockSD‐5GNet: Enhancing security of 5G network through blockchain‐SDN with ML‐based bandwidth prediction A Rahman, MSI Khan, A Montieri, MJ Islam, MR Karim, M Hasan, ... Transactions on Emerging Telecommunications Technologies 35 (4), e4965, 2024 | 2 | 2024 |
| Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps I Guarino, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapè IEEE Open Journal of the Communications Society, 2024 | 1 | 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 |
| AI-powered Internet Traffic Classification: Past, Present, and Future G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescape IEEE Communications Magazine, 2023 | 2 | 2023 |
| Cross-evaluation of deep learning-based network intrusion detection systems C Guida, A Nascita, A Montieri, A Pescapé 2023 10th International Conference on Future Internet of Things and Cloud …, 2023 | 1 | 2023 |
| Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps via Deep-Learning: a First Look at Explainability I Guarino, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapé ICC 2023-IEEE International Conference on Communications, 1609-1615, 2023 | 1 | 2023 |
| 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 |
| 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 128, 103167, 2023 | 28 | 2023 |
| Improving performance, reliability, and feasibility in multimodal multitask traffic classification with XAI A Nascita, A Montieri, G Aceto, D Ciuonzo, V Persico, A Pescapé IEEE Transactions on Network and Service Management 20 (2), 1267-1289, 2023 | 14 | 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 |
| Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic I Guarino, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapè Computer Networks 219, 109452, 2022 | 14 | 2022 |
| On the integration of blockchain and sdn: Overview, applications, and future perspectives A Rahman, A Montieri, D Kundu, MR Karim, MJ Islam, S Umme, A Nascita, ... Journal of Network and Systems Management 30 (4), 73, 2022 | 36 | 2022 |
| A first look at accurate network traffic generation in virtual environments G Aceto, C Guida, A Montieri, V Persico, A Pescapè 2022 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2022 | 2 | 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 |
| Machine and deep learning approaches for IoT attack classification A Nascita, F Cerasuolo, D Di Monda, JTA Garcia, A Montieri, A Pescape IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022 | 40 | 2022 |
| 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 | 26 | 2021 |
| Classification of communication and collaboration apps via advanced deep-learning approaches I Guarino, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapé 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design …, 2021 | 9 | 2021 |
| Characterizing and modeling traffic of communication and collaboration apps bloomed with COVID-19 outbreak I Guarino, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapè 2021 IEEE 6th International Forum on Research and Technology for Society and …, 2021 | 3 | 2021 |
| Unveiling mimetic: Interpreting deep learning traffic classifiers via xai techniques A Nascita, A Montieri, G Aceto, D Ciuonzo, V Persico, A Pescapè 2021 IEEE International Conference on Cyber Security and Resilience (CSR …, 2021 | 7 | 2021 |
Antonio PescapèProfessor, University of Napoli Federico II / Università di Napoli Federico II在 unina.it 的电子邮件经过验证
