Alfredo Nascita

According to our database, Alfredo Nascita authored at least 23 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Lightweight GenAI for Network Traffic Synthesis: Fidelity, Augmentation, and Classification.

Giampaolo Bovenzi, Domenico Ciuonzo, Jonatan Krolikowski, Antonio Montieri, Alfredo Nascita, Antonio Pescapè, Dario Rossi

CoRR, March, 2026

From prompts to packets: A view from the network on ChatGPT, Copilot, and Gemini.

Antonio Montieri, Alfredo Nascita, Antonio Pescapè

Comput. Networks, 2026

A multimodal and perturbation-aware learning approach for robust traffic classification.

Idio Guarino, Giampaolo Bovenzi, Alfredo Nascita, Domenico Ciuonzo, Damiano Carra, Antonio Pescapè

Comput. Networks, 2026

2025

A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection.

Alfredo Nascita, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè

IEEE Commun. Surv. Tutorials, October, 2025

An integration perspective of security, privacy, and resource efficiency in IoT-Fog networks: A comprehensive survey.

Saeed Javanmardi, Alfredo Nascita, Antonio Pescapè, Giovanni Merlino, Marco Scarpa

Comput. Networks, 2025

From Entanglement to Explanation: Bridging Quantum ML and XAI for Network Traffic Classification.

Alfredo Nascita, Idio Guarino, Vincenzo Spadari, Domenico Ciuonzo, Antonio Pescapè

Proceedings of the IEEE Virtual Conference on Communications, 2025

Analyzing the Impact of Encryption on Traffic Classification through Explainable AI.

Davide Di Monda, Alfredo Nascita, Raffaele Carillo, Antonio Pescapè

Proceedings of the 2025 IFIP Networking Conference, Limassol, Cyprus, 26-30 May 2025., 2025

Localizing and Exploiting Concept Areas in LLMs for Downstream Classification Tasks.

Alfredo Nascita, Jonatan Krolikowski, Valerio Persico, Antonio Pescapè, Dario Rossi

Proceedings of the International Joint Conference on Neural Networks, 2025

Forecasting Urban Tourism in Napoli: A Comparative Study of Machine and Deep Learning Models.

Ilaria Mangiacapra, Alfredo Nascita, Antonio Montieri, Antonio Pescapè

Proceedings of the 12th International Conference on Future Internet of Things and Cloud, 2025

2024

Benchmarking Class Incremental Learning in Deep Learning Traffic Classification.

Giampaolo Bovenzi, Alfredo Nascita, Lixuan Yang, Alessandro Finamore, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi

IEEE Trans. Netw. Serv. Manag., February, 2024

MCOTM: Mobility-aware computation offloading and task migration for edge computing in industrial IoT.

Wei Qin, Haiming Chen, Lei Wang, Yinshui Xia, Alfredo Nascita, Antonio Pescapè

Future Gener. Comput. Syst., February, 2024

MEMENTO: A novel approach for class incremental learning of encrypted traffic.

Francesco Cerasuolo, Alfredo Nascita, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi

Comput. Networks, 2024

Interpretability and Complexity Reduction in Iot Network Anomaly Detection Via XAI.

Alfredo Nascita, Raffaele Carillo, Federica Giampetraglia, Antonio Iacono, Valerio Persico, Antonio Pescapè

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI.

Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè

IEEE Trans. Netw. Serv. Manag., June, 2023

Explainable Mobile Traffic Classification: the Case of Incremental Learning.

Alfredo Nascita, Francesco Cerasuolo, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè

SAFE@CoNEXT, 2023

Cross-Evaluation of Deep Learning-based Network Intrusion Detection Systems.

Ciro Guida, Alfredo Nascita, Antonio Montieri, Antonio Pescapè

Proceedings of the 10th International Conference on Future Internet of Things and Cloud, 2023

2022

On the Integration of Blockchain and SDN: Overview, Applications, and Future Perspectives.

Anichur Rahman, Antonio Montieri, Dipanjali Kundu, Md. Razaul Karim, Md. Jahidul Islam, Sara Umme, Alfredo Nascita, Antonio Pescapè

J. Netw. Syst. Manag., 2022

A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic.

Giampaolo Bovenzi, Francesco Cerasuolo, Antonio Montieri, Alfredo Nascita, Valerio Persico, Antonio Pescapè

Proceedings of the IEEE Symposium on Computers and Communications, 2022

Machine and Deep Learning Approaches for IoT Attack Classification.

Alfredo Nascita, Francesco Cerasuolo, Davide Di Monda, Jonas Thern Aberia Garcia, Antonio Montieri, Antonio Pescapè

Proceedings of the IEEE INFOCOM 2022, 2022

2021

XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures.

Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè

IEEE Trans. Netw. Serv. Manag., 2021

Mobile Network Traffic Prediction Using High Order Markov Chains Trained At Multiple Granularity.

Idio Guarino, Alfredo Nascita, Giuseppe Aceto, Antonio Pescapè

Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021

Encrypted Multitask Traffic Classification via Multimodal Deep Learning.

Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Alfredo Nascita, Antonio Pescapè

Proceedings of the ICC 2021, 2021

Unveiling MIMETIC: Interpreting Deep Learning Traffic Classifiers via XAI Techniques.

Alfredo Nascita, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021