Davide Di Monda

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	All	Since 2020
Citations	90	90
h-index	4	4
i10-index	2	2

20222023202420259 37 37 7

Co-authors

Antonio PescapèProfessor, University of Napoli Federico II / Università di Napoli Federico IIVerified email at unina.it
Antonio MontieriAssistant Professor, Università degli Studi di Napoli Federico IIVerified email at unina.it
Giampaolo BovenziAssistant Professor, University of Napoli Federico IIVerified email at unina.it
Valerio PersicoAssociate Professor, Università di Napoli "Federico II"Verified email at unina.it
Francesco CerasuoloPhD Student, Department of Electrical Engineering and Information Technology (D.I.E.T.I.)Verified email at unina.it
Domenico CiuonzoTenure-Track Professor, Università degli Studi di Napoli Federico IIVerified email at unina.it
Idio GuarinoPost-doc, Department of Computer Science, University of VeronaVerified email at univr.it
Alfredo NascitaReserach Fellow, DIETI, Unversity of Napoli Federico IIVerified email at unina.it
Giuseppe AcetoAssociate Professor at University of Napoli "Federico II"Verified email at unina.it

Davide Di Monda

PhD Student, University of Napoli Federico II & IMT School for Advanced Studies Lucca

Verified email at imtlucca.it

Networking Artificial Intelligence


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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	50	2022
On the use of machine learning approaches for the early classification in network intrusion detection I Guarino, G Bovenzi, D Di Monda, G Aceto, D Ciuonzo, A Pescapé 2022 IEEE International symposium on measurements & networking (M&N), 1-6, 2022	23	2022
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	7	2023
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	4	2024
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 35th International Teletraffic Congress (ITC-35), 1 - 9, 2023	4	2023
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	2	2023
Mapping the Landscape of Generative AI in Network Monitoring and Management G Bovenzi, F Cerasuolo, D Ciuonzo, D Di Monda, I Guarino, A Montieri, ... arXiv preprint arXiv:2502.08576, 2025		2025
Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems D Di Monda, A Montieri, V Persico, P Voria, M De Ieso, A PescapÈ IEEE Open Journal of the Communications Society, 2024		2024
Supporting Criminal Investigations on the Blockchain: A Temporal Logic-based Approach M Blanchini, M Cerreta, D Di Monda, M Fabbri, M Raciti, HS Ahmad, ...		2024

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