About Me

Who Am I?

Hi I'm Giampaolo Bovenzi and I'm an Assistant Professor (RTD-a) at DIETI, University of Napoli Federico II, since November 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 13 papers in international journals and conference proceedings.

What I do?

Here are my research interests

Traffic Classification

Anonymized and Ciphered Internet Traffic

Network Security

Anomaly Detection with focus on IoT environments

Blockchain

In the context of the 4th Industrial Revolution

My Work

Publications

Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapé
“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 Pescapé
“Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats”

2023 IEEE International Conference on Big Data (BigData).

Giampaolo Bovenzi, Giuseppe Aceto, Valerio Persico, Antonio Pescapé
“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 Pescapé, Dario Rossi
“Benchmarking Class Incremental Learning in Deep Learning Traffic Classification”

IEEE Transactions on Network and Service Management.

Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapé
“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 Pescapé
“Few shot learning approaches for classifying rare mobile-app encrypted traffic samples”

2023 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapé
“Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness”

Elsevier Computers & Security.

Giampaolo Bovenzi, Valerio Persico, Antonio Pescapé, 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 Pescapé
“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 Pescapé
“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 Pescapé
“A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic”

IEEE Symposium on Computers and Communications (ISCC).

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.

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.

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).

Giuseppe Aceto, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapé
“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 Pescapé
“A hierarchical hybrid intrusion detection approach in IoT scenarios”

IEEE Global Communications Conference (GLOBECOM'20).

Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapé
“A Big Data-enabled Hierarchical Framework for Traffic Classification”

IEEE Transactions on Network Science and Engineering.

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.

Antonio Montieri, Domenico Ciuonzo, Giampaolo Bovenzi, Valerio Persico, Antonio Pescapé
“A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools”

IEEE Transactions on Network Science and Engineering.

Giampaolo Bovenzi, Domenico Ciuonzo, Valerio Persico, Antonio Pescapé, 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.

Citations

Journals
Conferences
&
Workshops
Book
Chapters
Education

Education

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

Experience

Work Experience

Assistant Professor (RTD-a) November 2023 -

University of Naples Federico II

Postdoctoral Researcher July 2022 - July 2023

University of Naples Federico II

Ph.D. in Information Technology and Electrical Engineering November 2018-June 2022

University of Naples Federico II

Internship at ARCLAB March-July 2018

University of Naples Federico II