Assistant Professor (RTD-a) October 2023 -
University of Naples Federico II
Hi I'm Giampaolo Bovenzi
and I'm an Assistant Professor (RTD-a) at DIETI, University of Napoli Federico II, since October 2023.
I received my Ph.D. degree at the same University in June 2022.
I'm a member of Traffic research group, headed by the Prof. Antonio Pescapè.
My research interests focus on (anonymized and encrypted) traffic classification, network security (with focus on IoT), and blockchain.
I have co-authored 24 papers in international journals and conference proceedings.
Anonymized and Encrypted Internet Traffic
Network Intrusion Detection with focus on IoT environments
In the context of the 4th Industrial Revolution
Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
“Classifying Attack Traffic in IoT Environments via Few-shot Learning”
Elsevier Journal of Information Security and Applications.
Francesco Cerasuolo, Alfredo Nascita, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi
“MEMENTO: A Novel Approach for Class Incremental Learning of Encrypted Traffic”
Elsevier Computer Networks.
Giampaolo Bovenzi, Giuseppe Aceto, Valerio Persico, Antonio Pescapè
“Blockchain Performance in Industry 4.0: Drivers, Use Cases, and Future Directions”
Elsevier Journal of Industrial Information Integration.
Giampaolo Bovenzi, Alfredo Nascita, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi
“Benchmarking Class Incremental Learning in Deep Learning Traffic Classification”
IEEE Transactions on Network and Service Management.
Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
“Network Anomaly Detection Methods in IoT Environments via Deep Learning: A Fair Comparison of Performance and Robustness”
Elsevier Computers & Security.
Antonio Montieri, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
“Packet-level Prediction of Mobile-app Traffic Using Multitask Deep Learning”
Elsevier Computer Networks.
Giuseppe Aceto, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
“Characterization and Prediction of Mobile-app Traffic Using Markov Modeling”
IEEE Transactions on Network and Service Management.
Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
“A Big Data-enabled Hierarchical Framework for Traffic Classification”
IEEE Transactions on Network Science and Engineering.
Antonio Montieri, Domenico Ciuonzo, Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè
“A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools”
IEEE Transactions on Network Science and Engineering.
Francesco Cerasuolo, Giampaolo Bovenzi, Vincenzo Spadari, Domenico Ciuonzo, Antonio Pescapè
“Explainable Few-Shot Class Incremental Learning for Mobile Network Traffic Classification”
2024 IEEE Global Communications Conference (GLOBECOM'24).
Vincenzo Spadari Francesco Cerasuolo, Giampaolo Bovenzi, Antonio Pescapè
“An MLOps Framework for Explainable Network Intrusion Detection with MLflow”
2024 IEEE Symposium on Computers and Communications (ISCC).
Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè
“IoT Botnet-Traffic Classification Using Few-Shot Learning”
2023 IEEE International Conference on Big Data (BigData).
Francesco Cerasuolo, Giampaolo Bovenzi, Christian Marescalco, Francesco Cirillo, Domenico Ciuonzo, Antonio Pescapè
“Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats”
2023 IEEE International Conference on Big Data (BigData).
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”
2023 International Teletraffic Congress (ITC23).
Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
“Few Shot Learning Approaches for Classifying Rare Mobile-app Encrypted Traffic Samples”
2023 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè, Anna Piscitelli, Vincenzo Spadari
“Hierarchical Classification of Android Malware Traffic”
2022 IEEE TrustCom International Workshop on Cyberspace Security and Artificial Intelligence (CAI).
Giampaolo Bovenzi, Alessio Foggia, Salvatore Santella, Alessandro Testa, Valerio Persico, Antonio Pescapè
“Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis”
2022 International Conference on Communications (ICC22).
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”
IEEE International Workshop on Measurements and Networking Proceedings (M&N).
Giampaolo Bovenzi, Francesco Cerasuolo, Antonio Montieri, Alfredo Nascita, Valerio Persico, Antonio Pescapè
“A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic”
IEEE Symposium on Computers and Communications (ISCC).
Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi
“A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification”
Proceedings IFIP Traffic Monitoring and Analysis (TMA).
Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
“A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios”
IEEE Global Communications Conference (GLOBECOM'20).
Gabriele Piantadosi, Giampaolo Bovenzi, Giuseppe Argenziano, Elvira Moscarella, Domenico Parmeggiani, Ludovico Docimo, Carlo Sansone
“Skin Lesions Classification: A Radiomics Approach with Deep CNN”
Springer International Conference on Image Analysis and Processing.
Giampaolo Bovenzi, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè, Pierluigi Salvo Rossi
“IoT-Enabled Distributed Detection of a Nuclear Radioactive Source via Generalized Score Tests”
Fourth International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS’18) (SIRS-2018), Bangalore, India, 18 Settembre 2018.
Ruggiero Bollino, Giampaolo Bovenzi, Francesco Cipolletta, Ludovico Docimo, Michela Gravina, Stefano Marrone, Domenico Parmeggiani, Carlo Sansone
“Synergy-Net: Artificial Intelligence at the Service of Oncological Prevention”
Springer Handbook of Artificial Intelligence in Healthcare.
Information Technology and Electrical Engineering
June 2022, University of Naples Federico II
Computer Engineering - Computer Networks and Internet
October 2018, University of Naples Federico II
Computer Engineering
January 2016, University of Naples Federico II
Scienfific National IT Plan
July 2012, Scientific High School "L. Garofano", Capua
University of Naples Federico II
University of Naples Federico II
University of Naples Federico II
University of Naples Federico II