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2020 – today
- 2024
[j9]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: 110374 (2024)- [j8]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: 103762 (2024) - [j7]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): 51-69 (2024) - [c13]Vincenzo Spadari, Francesco Cerasuolo, Giampaolo Bovenzi, Antonio Pescapè:
An MLOps Framework for Explainable Network Intrusion Detection with MLflow. ISCC 2024: 1-6 - 2023
- [j6]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: 103167 (2023) - [j5]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: 100513 (2023) - [c12]Davide Di Monda, Giampaolo Bovenzi, Antonio Montieri, Valerio Persico, Antonio Pescapè:
IoT Botnet-Traffic Classification Using Few-Shot Learning. IEEE Big Data 2023: 3284-3293 - [c11]Francesco Cerasuolo, Giampaolo Bovenzi, Christian Marescalco, Francesco Cirillo, Domenico Ciuonzo, Antonio Pescapè:
Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats. IEEE Big Data 2023: 3547-3555 - [c10]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: 1-6 - [c9]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: 25-30 - [c8]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: 1-9 - 2022
- [c7]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: 5427-5432 - [c6]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: 1-6 - [c5]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: 1-6 - [c4]Giampaolo Bovenzi, Valerio Persico, Antonio Pescapè, Anna Piscitelli, Vincenzo Spadari:
Hierarchical Classification of Android Malware Traffic. TrustCom 2022: 1354-1359 - 2021
- [j4]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: 108529 (2021) - [j3]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): 907-925 (2021) - [c3]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 - [i1]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 abs/2107.04464 (2021) - 2020
- [j2]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): 1043-1054 (2020) - [j1]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): 2608-2619 (2020) - [c2]Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè:
A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios. GLOBECOM 2020: 1-7
2010 – 2019
- 2019
- [c1]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: 252-259
Coauthor Index
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