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Giampaolo Bovenzi

Observed name: Bovenzi, Giampaolo
ORCID: 0000-0002-0997-9724
Observed ORCID: 0000-0002-0997-9724
OpenAlex ID: A5062538316
A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios
2020 · Giampaolo Bovenzi, Giuseppe Aceto, et al. · Globecom · 207
Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness
2023 · Giampaolo Bovenzi, Giuseppe Aceto, et al. · Computers & Security · 112
Characterization and Prediction of Mobile-App Traffic Using Markov Modeling
2021 · Giuseppe Aceto, Giampaolo Bovenzi, et al. · IEEE Transactions on Network and Service Management · 87
A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools
2019 · Antonio Montieri, Domenico Ciuonzo, et al. · IEEE Transactions on Network Science and Engineering · 85
Benchmarking Class Incremental Learning in Deep Learning Traffic Classification
2023 · Giampaolo Bovenzi, Alfredo Nascita, et al. · IEEE Transactions on Network and Service Management · 50
Packet-level prediction of mobile-app traffic using multitask Deep Learning
2021 · Antonio Montieri, Giampaolo Bovenzi, et al. · Computer Networks · 49
A Big Data-Enabled Hierarchical Framework for Traffic Classification
2020 · Giampaolo Bovenzi, Giuseppe Aceto, et al. · IEEE Transactions on Network Science and Engineering · 36
On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection
2022 · Idio Guarino, Giampaolo Bovenzi, et al. · IEEE International Symposium on Measurements & Networking (M&N) · 32
Mapping the Landscape of Generative AI in Network Monitoring and Management
2025 · Giampaolo Bovenzi, Francesco Cerasuolo, et al. · IEEE Transactions on Network and Service Management · 28
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Data Poisoning Attacks against Autoencoder-based Anomaly Detection Models: a Robustness Analysis
2022 · Giampaolo Bovenzi, Alessio Foggia, et al. · International Conference on Communications · 27
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification
2021 · Bovenzi, Giampaolo, Yang, Lixuan, et al. · arXiv (Cornell University) · 27
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Adaptable, incremental, and explainable network intrusion detection systems for internet of things
2025 · Francesco Cerasuolo, Giampaolo Bovenzi, et al. · Engineering Applications of Artificial Intelligence · 26
Classifying attack traffic in IoT environments via few-shot learning
2024 · Giampaolo Bovenzi, Davide Di Monda, et al. · Journal of Information Security and Applications · 26
MEMENTO: A novel approach for class incremental learning of encrypted traffic
2024 · Francesco Cerasuolo, Alfredo Nascita, et al. · Computer Networks · 23
IoT-Enabled Distributed Detection of a Nuclear Radioactive Source via Generalized Score Tests
2019 · Giampaolo Bovenzi, Domenico Ciuonzo, et al. · Communications in computer and information science · 23
Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats
2023 · Francesco Cerasuolo, Giampaolo Bovenzi, et al. · IEEE International Conference on Big Data (BigData) · 22
A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic
2022 · Giampaolo Bovenzi, Francesco Cerasuolo, et al. · IEEE Symposium on Computers and Communications (ISCC) · 21
Attack-adaptive network intrusion detection systems for IoT networks through class incremental learning
2025 · Francesco Cerasuolo, Giampaolo Bovenzi, et al. · Computer Networks · 20
Blockchain Performance in Industry 4.0: Drivers, use cases, and future directions
2023 · Giampaolo Bovenzi, Giuseppe Aceto, et al. · Journal of Industrial Information Integration · 18
Explainable federated class incremental learning for Encrypted Network Traffic classification
2025 · Raffaele Carillo, Francesco Cerasuolo, et al. · Computer Networks · 16
Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples
2023 · Giampaolo Bovenzi, Davide Di Monda, et al. · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · 14
An MLOps Framework for Explainable Network Intrusion Detection with MLflow
2024 · Vincenzo Spadari, Francesco Cerasuolo, et al. · IEEE Symposium on Computers and Communications (ISCC) · 11
IoT Botnet-Traffic Classification Using Few-Shot Learning
2023 · Davide Di Monda, Giampaolo Bovenzi, et al. · IEEE International Conference on Big Data (BigData) · 10
Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning
2023 · Giampaolo Bovenzi, Davide Di Monda, et al. · International Teletraffic Congress · 6
Hierarchical Classification of Android Malware Traffic
2022 · Giampaolo Bovenzi, Valerio Persico, et al. · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · 6
Works count: 39
Citation count: 1,006
H-index: 18
I10-index: 23
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