Giampaolo Bovenzi

35 papers A 1B 5C 2Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Federated and Incremental Network Intrusion Detection System for IoT Emerging Threats. IEEE Trans. Netw. Serv. Manag. Raffaele Carillo, Francesco Cerasuolo, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Pescapè
2026	J	`jnl`	A multimodal and perturbation-aware learning approach for robust traffic classification. Comput. Networks Idio Guarino, Giampaolo Bovenzi, Alfredo Nascita, Domenico Ciuonzo, Damiano Carra, Antonio Pescapè
2026	J	`jnl`	Analyzing the impact of shifts in encrypted mobile-app traffic on multimodal few-shot learning. Comput. Networks Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè
2026	J	`jnl`	Lightweight GenAI for Network Traffic Synthesis: Fidelity, Augmentation, and Classification. CoRR Giampaolo Bovenzi, Domenico Ciuonzo, Jonatan Krolikowski, Antonio Montieri, Alfredo Nascita, Antonio Pescapè, Dario Rossi
2025	J	`jnl`	Adaptable, incremental, and explainable network intrusion detection systems for internet of things. Eng. Appl. Artif. Intell. Francesco Cerasuolo, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Pescapè
2025	J	`jnl`	Attack-adaptive network intrusion detection systems for IoT networks through class incremental learning. Comput. Networks Francesco Cerasuolo, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Pescapè
2025	—	`conf`	Class Incremental Learning for Network-Agnostic Intrusion Detection Systems. RTSI Francesco Cerasuolo, Giampaolo Bovenzi, Antonio Montieri, Antonio Pescapè
2025	J	`jnl`	Explainable federated class incremental learning for Encrypted Network Traffic classification. Comput. Networks Raffaele Carillo, Francesco Cerasuolo, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Pescapè
2025	J	`jnl`	Mapping the Landscape of Generative AI in Network Monitoring and Management. CoRR Giampaolo Bovenzi, Francesco Cerasuolo, Domenico Ciuonzo, Davide Di Monda, Idio Guarino, Antonio Montieri, Valerio Persico, Antonio Pescapè
2025	J	`jnl`	Mapping the Landscape of Generative AI in Network Monitoring and Management. IEEE Trans. Netw. Serv. Manag. Giampaolo Bovenzi, Francesco Cerasuolo, Domenico Ciuonzo, Davide Di Monda, Idio Guarino, Antonio Montieri, Valerio Persico, Antonio Pescapè
2024	C	`conf`	An MLOps Framework for Explainable Network Intrusion Detection with MLflow. ISCC Vincenzo Spadari, Francesco Cerasuolo, Giampaolo Bovenzi, Antonio Pescapè
2024	J	`jnl`	Benchmarking Class Incremental Learning in Deep Learning Traffic Classification. IEEE Trans. Netw. Serv. Manag. Giampaolo Bovenzi, Alfredo Nascita, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi
2024	J	`jnl`	Classifying attack traffic in IoT environments via few-shot learning. J. Inf. Secur. Appl. Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
2024	B	`conf`	Explainable Few-Shot Class Incremental Learning for Mobile Network Traffic Classification. GLOBECOM Francesco Cerasuolo, Giampaolo Bovenzi, Vincenzo Spadari, Domenico Ciuonzo, Antonio Pescapè
2024	J	`jnl`	MEMENTO: A novel approach for class incremental learning of encrypted traffic. Comput. Networks Francesco Cerasuolo, Alfredo Nascita, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi
2023	B	`conf`	Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats. IEEE Big Data Francesco Cerasuolo, Giampaolo Bovenzi, Christian Marescalco, Francesco Cirillo, Domenico Ciuonzo, Antonio Pescapè
2023	J	`jnl`	Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions. J. Ind. Inf. Integr. Giampaolo Bovenzi, Giuseppe Aceto, Valerio Persico, Antonio Pescapè
2023	—	`conf`	Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples. INFOCOM Workshops Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
2023	—	`conf`	Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples. Ital-IA Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
2023	B	`conf`	IoT Botnet-Traffic Classification Using Few-Shot Learning. IEEE Big Data Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè
2023	A	`conf`	Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning. ITC Giampaolo Bovenzi, Davide Di Monda, Antonio Montieri, Valerio Persico, Antonio Pescapè
2023	J	`jnl`	Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness. Comput. Secur. Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
2022	C	`conf`	A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic. ISCC Giampaolo Bovenzi, Francesco Cerasuolo, Antonio Montieri, Alfredo Nascita, Valerio Persico, Antonio Pescapè
2022	—	`—`	A hierarchical learning framework for network traffic analysis: design, implementation, and use cases. Giampaolo Bovenzi
2022	—	`conf`	Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis. ICC Giampaolo Bovenzi, Alessio Foggia, Salvatore Santella, Alessandro Testa, Valerio Persico, Antonio Pescapè
2022	B	`conf`	Hierarchical Classification of Android Malware Traffic. TrustCom Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè, Anna Piscitelli, Vincenzo Spadari
2022	—	`conf`	On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection. M&N Idio Guarino, Giampaolo Bovenzi, Davide Di Monda, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè
2021	—	`conf`	A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification. TMA Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Domenico Ciuonzo, Giuseppe Aceto, Antonio Pescapè, Dario Rossi
2021	J	`jnl`	A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification. CoRR Giampaolo Bovenzi, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi
2021	J	`jnl`	Characterization and Prediction of Mobile-App Traffic Using Markov Modeling. IEEE Trans. Netw. Serv. Manag. Giuseppe Aceto, Giampaolo Bovenzi, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè
2021	J	`jnl`	Packet-level prediction of mobile-app traffic using multitask Deep Learning. Comput. Networks Antonio Montieri, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
2020	J	`jnl`	A Big Data-Enabled Hierarchical Framework for Traffic Classification. IEEE Trans. Netw. Sci. Eng. Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
2020	J	`jnl`	A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools. IEEE Trans. Netw. Sci. Eng. Antonio Montieri, Domenico Ciuonzo, Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè
2020	B	`conf`	A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios. GLOBECOM Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè
2019	—	`conf`	Skin Lesions Classification: A Radiomics Approach with Deep CNN. ICIAP Workshops Gabriele Piantadosi, Giampaolo Bovenzi, Giuseppe Argenziano, Elvira Moscarella, Domenico Parmeggiani, Ludovico Docimo, Carlo Sansone