Davide Di Monda

15 papers A 1B 4Journal 5Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analyzing the impact of shifts in encrypted mobile-app traffic on multimodal few-shot learning. Comput. Networks Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè
2025	B	`conf`	Analyzing the Impact of Encryption on Traffic Classification through Explainable AI. Networking Davide Di Monda, Alfredo Nascita, Raffaele Carillo, Antonio Pescapè
2025	B	`conf`	Few-Shot Retrieval-Augmented LLMs for Anomaly Detection in Network Traffic. CANS Furqan Rustam, Islam Obaidat, Davide Di Monda, Anca Delia Jurcut
2025	J	`jnl`	Mapping the Landscape of Generative AI in Network Monitoring and Management. CoRR Giampaolo Bovenzi, Francesco Cerasuolo, Domenico Ciuonzo, Davide Di Monda, Idio Guarino, Antonio Montieri, Valerio Persico, Antonio Pescapè
2025	J	`jnl`	Mapping the Landscape of Generative AI in Network Monitoring and Management. IEEE Trans. Netw. Serv. Manag. Giampaolo Bovenzi, Francesco Cerasuolo, Domenico Ciuonzo, Davide Di Monda, Idio Guarino, Antonio Montieri, Valerio Persico, Antonio Pescapè
2025	B	`conf`	Rapid Few-Shot Learning for Resilient Multi-Domain Intrusion Detection. GLOBECOM Davide Di Monda, Furquan Rustam, Anca Delia Jurcut, Antonio Pescapè
2024	J	`jnl`	Classifying attack traffic in IoT environments via few-shot learning. J. Inf. Secur. Appl. Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
2024	J	`jnl`	Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems. IEEE Open J. Commun. Soc. Davide Di Monda, Antonio Montieri, Valerio Persico, Pasquale Voria, Matteo De Ieso, Antonio Pescapè
2024	—	`conf`	Supporting Criminal Investigations on the Blockchain: A Temporal Logic-based Approach. ITASEC Marco Blanchini, Michele Cerreta, Davide Di Monda, Matteo Fabbri, Mario Raciti, Hamza Sajjad Ahmad, Gabriele Costa
2023	—	`conf`	Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples. INFOCOM Workshops Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
2023	—	`conf`	Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples. Ital-IA Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
2023	B	`conf`	IoT Botnet-Traffic Classification Using Few-Shot Learning. IEEE Big Data Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè
2023	A	`conf`	Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning. ITC Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
2022	—	`conf`	Machine and Deep Learning Approaches for IoT Attack Classification. INFOCOM Workshops Alfredo Nascita, Francesco Cerasuolo, Davide Di Monda, Jonas Thern Aberia Garcia, Antonio Montieri, Antonio Pescapè
2022	—	`conf`	On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection. M&N Idio Guarino, Giampaolo Bovenzi, Davide Di Monda, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè