Unveiling MIMETIC: Interpreting Deep Learning Traffic Classifiers via XAI Techniques. - Alfredo Nascita; Antonio Montieri; Giuseppe Aceto; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (CSR, 2021)

Encrypted Multitask Traffic Classification via Multimodal Deep Learning. - Giuseppe Aceto; Domenico Ciuonzo; Antonio Montieri; Alfredo Nascita; Antonio Pescapè (ICC, 2021)

Mobile Network Traffic Prediction Using High Order Markov Chains Trained At Multiple Granularity. - Idio Guarino; Alfredo Nascita; Giuseppe Aceto; Antonio Pescapè (RTSI, 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)

Machine and Deep Learning Approaches for IoT Attack Classification. - Alfredo Nascita; Francesco Cerasuolo; Davide Di Monda; Jonas Thern Aberia Garcia; Antonio Montieri; Antonio Pescapè (INFOCOM Workshops, 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 (ISCC, 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)

Cross-Evaluation of Deep Learning-based Network Intrusion Detection Systems. - Ciro Guida; Alfredo Nascita; Antonio Montieri; Antonio Pescapè (FiCloud, 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)

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., 2023)

Interpretability and Complexity Reduction in Iot Network Anomaly Detection Via XAI. - Alfredo Nascita; Raffaele Carillo; Federica Giampetraglia; Antonio Iacono; Valerio Persico; Antonio Pescapè (ICASSP Workshops, 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 001 (Comput. Networks, 2024)

MCOTM: Mobility-aware computation offloading and task migration for edge computing in industrial IoT. - Wei Qin; Haiming Chen 002; Lei Wang 195; Yinshui Xia; Alfredo Nascita; Antonio Pescapè (Future Gener. Comput. Syst., 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 001 (IEEE Trans. Netw. Serv. Manag., 2024)

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)