Giampaolo Bovenzi

According to our database, Giampaolo Bovenzi authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Benchmarking Class Incremental Learning in Deep Learning Traffic Classification.

Giampaolo Bovenzi, Alfredo Nascita, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi

IEEE Trans. Netw. Serv. Manag., February, 2024

2023

Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions.

Giampaolo Bovenzi, Giuseppe Aceto, Valerio Persico, Antonio Pescapè

J. Ind. Inf. Integr., December, 2023

Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness.

Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè

Comput. Secur., May, 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 Italia Intelligenza Artificiale, 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

Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats.

Francesco Cerasuolo, Giampaolo Bovenzi, Christian Marescalco, Francesco Cirillo, Domenico Ciuonzo, Antonio Pescapè

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Hierarchical Classification of Android Malware Traffic.

Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè, Anna Piscitelli, Vincenzo Spadari

Proceedings of the IEEE International Conference on Trust, 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

A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic.

Giampaolo Bovenzi, Francesco Cerasuolo, Antonio Montieri, Alfredo Nascita, Valerio Persico, Antonio Pescapè

Proceedings of the IEEE Symposium on Computers and Communications, 2022

Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis.

Giampaolo Bovenzi, Alessio Foggia, Salvatore Santella, Alessandro Testa, Valerio Persico, Antonio Pescapè

Proceedings of the IEEE International Conference on Communications, 2022

2021

Characterization and Prediction of Mobile-App Traffic Using Markov Modeling.

Giuseppe Aceto, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè

IEEE Trans. Netw. Serv. Manag., 2021

Packet-level prediction of mobile-app traffic using multitask Deep Learning.

Antonio Montieri, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè

Comput. Networks, 2021

A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification.

Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Domenico Ciuonzo, Giuseppe Aceto, Antonio Pescapè, Dario Rossi

Proceedings of the 5th Network Traffic Measurement and Analysis Conference, 2021

2020

A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools.

Antonio Montieri, Domenico Ciuonzo, Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè

IEEE Trans. Netw. Sci. Eng., 2020

A Big Data-Enabled Hierarchical Framework for Traffic Classification.

Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè

IEEE Trans. Netw. Sci. Eng., 2020

A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios.

Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè

Proceedings of the IEEE Global Communications Conference, 2020

2019

Skin Lesions Classification: A Radiomics Approach with Deep CNN.

Gabriele Piantadosi, Giampaolo Bovenzi, Giuseppe Argenziano, Elvira Moscarella, Domenico Parmeggiani, Ludovico Docimo, Carlo Sansone

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019