Giampaolo Bovenzi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Intrusion Detection

Incremental Learning

Hierarchical Classification

Top Venues

IEEE Trans. Netw. Serv. Manag.

Comput. Networks

IEEE Trans. Netw. Sci. Eng.

Publications

Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
Classifying attack traffic in IoT environments via few-shot learning. J. Inf. Secur. Appl. 83 (2024)
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. Comput. Networks 245 (2024)
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 Trans. Netw. Serv. Manag. 21 (1) (2024)
Giampaolo Bovenzi, Giuseppe Aceto, Valerio Persico, Antonio Pescapè
Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions. J. Ind. Inf. Integr. 36 (2023)
Francesco Cerasuolo, Giampaolo Bovenzi, Christian Marescalco, Francesco Cirillo, Domenico Ciuonzo, Antonio Pescapè
Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats. BigData (2023)
Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples. Ital-IA (2023)
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. Comput. Secur. 128 (2023)
Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè
IoT Botnet-Traffic Classification Using Few-Shot Learning. BigData (2023)
Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples. INFOCOM Workshops (2023)
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. ITC (2023)
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. M&N (2022)
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. ISCC (2022)
Giampaolo Bovenzi, Alessio Foggia, Salvatore Santella, Alessandro Testa, Valerio Persico, Antonio Pescapè
Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis. ICC (2022)
Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè, Anna Piscitelli, Vincenzo Spadari
Hierarchical Classification of Android Malware Traffic. TrustCom (2022)
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. CoRR (2021)
Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Domenico Ciuonzo, Giuseppe Aceto, Antonio Pescapè, Dario Rossi
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification. TMA (2021)
Antonio Montieri, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
Packet-level prediction of mobile-app traffic using multitask Deep Learning. Comput. Networks 200 (2021)
Giuseppe Aceto, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
Characterization and Prediction of Mobile-App Traffic Using Markov Modeling. IEEE Trans. Netw. Serv. Manag. 18 (1) (2021)
Antonio Montieri, Domenico Ciuonzo, Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè
A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios. GLOBECOM (2020)
Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
A Big Data-Enabled Hierarchical Framework for Traffic Classification. IEEE Trans. Netw. Sci. Eng. 7 (4) (2020)
Gabriele Piantadosi, Giampaolo Bovenzi, Giuseppe Argenziano, Elvira Moscarella, Domenico Parmeggiani, Ludovico Docimo, Carlo Sansone
Skin Lesions Classification: A Radiomics Approach with Deep CNN. ICIAP Workshops (2019)