Francesco Cerasuolo

18 papers B 4C 3Journal 7Unranked 4

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
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	—	`conf`	Federated Incremental Learning for Encrypted Network Traffic Classification. BCCA Raffaele Carillo, Francesco Cerasuolo, Antonio Pescapè, Eirini Kanaki, Periklis Chatzimisios
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	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
2024	B	`conf`	XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification. IFIP Networking Francesco Cerasuolo, Idio Guarino, Vincenzo Spadari, Giuseppe Aceto, Antonio Pescapè
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	—	`conf`	Explainable Mobile Traffic Classification: the Case of Incremental Learning. SAFE@CoNEXT Alfredo Nascita, Francesco Cerasuolo, Giuseppe Aceto, Domenico Ciuonzo, 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	—	`conf`	Machine and Deep Learning Approaches for IoT Attack Classification. INFOCOM Workshops Alfredo Nascita, Francesco Cerasuolo, Davide Di Monda, Jonas Thern Aberia Garcia, Antonio Montieri, Antonio Pescapè
2022	B	`conf`	Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning. IFIP Networking Lorenzo Pappone, Francesco Cerasuolo, Valerio Persico, Domenico Ciuonzo, Antonio Pescapè, Flavio Esposito
2012	C	`conf`	Visualization with a New Visual Metaphor for Hierarchical and Stratified Temporal Domain. W2GIS Francesco Cerasuolo, Francesco Cutugno, Vincenza Anna Leano