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2020 – today
- 2026
[j4]Davide Di Monda
, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Analyzing the impact of shifts in encrypted mobile-app traffic on multimodal few-shot learning. Comput. Networks 276: 111935 (2026)- 2025
- [j3]Giampaolo Bovenzi, Francesco Cerasuolo, Domenico Ciuonzo, Davide Di Monda, Idio Guarino, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Mapping the Landscape of Generative AI in Network Monitoring and Management. IEEE Trans. Netw. Serv. Manag. 22(3): 2441-2472 (2025) - [c10]Furqan Rustam, Islam Obaidat, Davide Di Monda, Anca Delia Jurcut:
Few-Shot Retrieval-Augmented LLMs for Anomaly Detection in Network Traffic. CANS 2025: 631-642 - [c9]Davide Di Monda, Furquan Rustam, Anca Delia Jurcut, Antonio Pescapè:
Rapid Few-Shot Learning for Resilient Multi-Domain Intrusion Detection. GLOBECOM 2025: 3097-3102 - [c8]Davide Di Monda, Alfredo Nascita, Raffaele Carillo, Antonio Pescapè:
Analyzing the Impact of Encryption on Traffic Classification through Explainable AI. Networking 2025 - [i1]Giampaolo Bovenzi, Francesco Cerasuolo, Domenico Ciuonzo, Davide Di Monda, Idio Guarino, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Mapping the Landscape of Generative AI in Network Monitoring and Management. CoRR abs/2502.08576 (2025) - 2024
- [j2]Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Classifying attack traffic in IoT environments via few-shot learning. J. Inf. Secur. Appl. 83: 103762 (2024) - [j1]Davide Di Monda, Antonio Montieri, Valerio Persico, Pasquale Voria, Matteo De Ieso, Antonio Pescapè:
Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems. IEEE Open J. Commun. Soc. 5: 6736-6757 (2024) - [c7]Marco Blanchini, Michele Cerreta, Davide Di Monda, Matteo Fabbri, Mario Raciti, Hamza Sajjad Ahmad, Gabriele Costa:
Supporting Criminal Investigations on the Blockchain: A Temporal Logic-based Approach. ITASEC 2024 - 2023
- [c6]Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè:
IoT Botnet-Traffic Classification Using Few-Shot Learning. IEEE Big Data 2023: 3284-3293 - [c5]Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples. INFOCOM Workshops 2023: 1-6 - [c4]Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples. Ital-IA 2023: 25-30 - [c3]Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning. ITC 2023: 1-9 - 2022
- [c2]Alfredo Nascita, Francesco Cerasuolo, Davide Di Monda, Jonas Thern Aberia Garcia, Antonio Montieri, Antonio Pescapè:
Machine and Deep Learning Approaches for IoT Attack Classification. INFOCOM Workshops 2022: 1-6 - [c1]Idio Guarino, Giampaolo Bovenzi, Davide Di Monda, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè:
On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection. M&N 2022: 1-6
Coauthor Index
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