Davide Di Monda

Orcid: 0009-0000-3370-2226

According to our database1, Davide Di Monda authored at least 8 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems.
IEEE Open J. Commun. Soc., 2024

Classifying attack traffic in IoT environments via few-shot learning.
J. Inf. Secur. Appl., 2024

Supporting Criminal Investigations on the Blockchain: A Temporal Logic-based Approach.
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.
Proceedings of the 35th International Teletraffic Congress, 2023

Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples.
Proceedings of the IEEE INFOCOM 2023, 2023

IoT Botnet-Traffic Classification Using Few-Shot Learning.
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.
Proceedings of the IEEE International Symposium on Measurements & Networking, 2022

Machine and Deep Learning Approaches for IoT Attack Classification.
Proceedings of the IEEE INFOCOM 2022, 2022


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