Davide Di Monda

According to our database, Davide Di Monda authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Analyzing the impact of shifts in encrypted mobile-app traffic on multimodal few-shot learning.

Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè

Comput. Networks, 2026

2025

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., June, 2025

Analyzing the Impact of Encryption on Traffic Classification through Explainable AI.

Davide Di Monda, Alfredo Nascita, Raffaele Carillo, Antonio Pescapè

Proceedings of the 2025 IFIP Networking Conference, Limassol, Cyprus, 26-30 May 2025., 2025

Rapid Few-Shot Learning for Resilient Multi-Domain Intrusion Detection.

Davide Di Monda, Furquan Rustam, Anca Delia Jurcut, Antonio Pescapè

Proceedings of the 2025 IEEE Global Communications Conference, 2025

Few-Shot Retrieval-Augmented LLMs for Anomaly Detection in Network Traffic.

Furqan Rustam, Islam Obaidat, Davide Di Monda, Anca Delia Jurcut

Proceedings of the Cryptology and Network Security - 24th International Conference, 2025

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

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

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

Proceedings of the 8th Italian Conference on Cyber Security (ITASEC 2024), 2024

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

Proceedings of the 35th International Teletraffic Congress, 2023

Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples.

Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè

Proceedings of the IEEE INFOCOM 2023, 2023

IoT Botnet-Traffic Classification Using Few-Shot Learning.

Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè

Proceedings of the IEEE International Conference on Big Data, 2023

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

Proceedings of the IEEE International Symposium on Measurements & Networking, 2022

Machine and Deep Learning Approaches for IoT Attack Classification.

Alfredo Nascita, Francesco Cerasuolo, Davide Di Monda, Jonas Thern Aberia Garcia, Antonio Montieri, Antonio Pescapè

Proceedings of the IEEE INFOCOM 2022, 2022