Alfredo Nascita

According to our database, Alfredo Nascita authored at least 12 papers between 2021 and 2024.

Collaborative distances:

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

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

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