Machine and Deep Learning Approaches for IoT Attack Classification. - Alfredo Nascita; Francesco Cerasuolo; Davide Di Monda; Jonas Thern Aberia Garcia; Antonio Montieri; Antonio Pescapè (INFOCOM Workshops, 2022)

On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection. - Idio Guarino; Giampaolo Bovenzi; Davide Di Monda; Giuseppe Aceto; Domenico Ciuonzo; Antonio Pescapè (M&N, 2022)

IoT Botnet-Traffic Classification Using Few-Shot Learning. - Davide Di Monda; Giampaolo Bovenzi; Antonio Montieri; Valerio Persico; Antonio Pescapè (IEEE Big Data, 2023)

Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples. - Giampaolo Bovenzi; Davide Di Monda; Antonio Montieri; Valerio Persico; Antonio Pescapè (INFOCOM Workshops, 2023)

Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning. - Giampaolo Bovenzi; Davide Di Monda; Antonio Montieri; Valerio Persico; Antonio Pescapè (ITC, 2023)

Supporting Criminal Investigations on the Blockchain: A Temporal Logic-based Approach. - Marco Blanchini; Michele Cerreta; Davide Di Monda; Matteo Fabbri; Mario Raciti; Hamza Sajjad Ahmad; Gabriele Costa 001 (ITASEC, 2024)

Classifying attack traffic in IoT environments via few-shot learning. - Giampaolo Bovenzi; Davide Di Monda; Antonio Montieri; Valerio Persico; Antonio Pescapè (J. Inf. Secur. Appl., 2024)

Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems. - Davide Di Monda; Antonio Montieri; Valerio Persico; Pasquale Voria; Matteo De Ieso; Antonio Pescapè (IEEE Open J. Commun. Soc., 2024)

Mapping the Landscape of Generative AI in Network Monitoring and Management. - Giampaolo Bovenzi; Francesco Cerasuolo; Domenico Ciuonzo; Davide Di Monda; Idio Guarino; Antonio Montieri; Valerio Persico; Antonio Pescapè (IEEE Trans. Netw. Serv. Manag., 2025)