Explainable AI for traffic analysis
Making AI-based traffic classification and prediction interpretable, and comparing classical and quantum machine learning on mobile traffic.
Tools & projects
People
Antonio PescapèFull Professor · Principal Investigator
Domenico CiuonzoAssociate Professor
Alfredo NascitaAssistant Professor (RTDA)
Giuseppe AcetoAssociate Professor
Antonio MontieriTenure-Track Professor
Valerio PersicoAssociate Professor
Vincenzo SpadariPhD Student
Idio GuarinoAssistant Professor (Non-Tenure Track) - Alma Mater Studiorum University of Bologna
Francesco CerasuoloPostdoc
Davide di MondaPostdoc
Publications
- Preprint I. Guarino, A. Nascita, D. Ciuonzo, D. Carra, A. Pescapè, “XAI2CSI: Interpreting CSI with eXplainable AI for Human Activity Recognition”, arXiv (Cornell University), 2026. PDF
- Conference A. Nascita, I. Guarino, V. Spadari, D. Ciuonzo, A. Pescapè, “From Entanglement to Explanation: Bridging Quantum ML and XAI for Network Traffic Classification”, 2025 IEEE Virtual Conference on Communications (VCC), 2025.
- Conference D. Di Monda, A. Nascita, R. Carillo, A. Pescapè, “Analyzing the Impact of Encryption on Traffic Classification through Explainable AI.”, Networking, 2025.
- Journal R. Carillo, F. Cerasuolo, G. Bovenzi, D. Ciuonzo, A. Pescapè, “Explainable federated class incremental learning for Encrypted Network Traffic classification”, Computer Networks, 2025.
- Journal A. Nascita, G. Aceto, D. Ciuonzo, A. Montieri, V. Persico, A. Pescapè, “A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection”, IEEE Communications Surveys & Tutorials, 2024.
- Conference V. Spadari, I. Guarino, D. Ciuonzo, A. Pescapè, “A Comparison Between Classical and Quantum Machine Learning for Mobile App Traffic Classification”, 2024 IEEE/ACM Symposium on Edge Computing (SEC), 2024.
- Conference F. Cerasuolo, I. Guarino, V. Spadari, G. Aceto, A. Pescapè, “XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification”, 2024 IFIP Networking Conference (IFIP Networking), 2024.
- Journal I. Guarino, G. Aceto, D. Ciuonzo, A. Montieri, V. Persico, A. Pescapè, “Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps”, IEEE Open Journal of the Communications Society, 2024. PDF
- Conference F. Cerasuolo, G. Bovenzi, V. Spadari, D. Ciuonzo, A. Pescapè, “Explainable Few-Shot Class Incremental Learning for Mobile Network Traffic Classification”, GLOBECOM 2024 - 2024 IEEE Global Communications Conference, 2024.
- Journal A. Nascita, A. Montieri, G. Aceto, D. Ciuonzo, V. Persico, A. Pescapè, “Improving Performance, Reliability, and Feasibility in Multimodal Multitask Traffic Classification with XAI”, IEEE Transactions on Network and Service Management, 2023. PDF
- Conference A. Nascita, F. Cerasuolo, G. Aceto, D. Ciuonzo, V. Persico, A. Pescapè, “Explainable Mobile Traffic Classification: the Case of Incremental Learning”, Proceedings of the 2023 on Explainable and Safety Bounded, Fidelitous, Machine Learning for Networking, 2023. PDF
- Conference I. Guarino, G. Aceto, D. Ciuonzo, A. Montieri, V. Persico, A. Pescapè, “Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability”, ICC 2023 - IEEE International Conference on Communications, 2023.
- Journal A. Nascita, A. Montieri, G. Aceto, D. Ciuonzo, V. Persico, A. Pescapè, “XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures”, IEEE Transactions on Network and Service Management, 2021.
- Conference A. Nascita, A. Montieri, G. Aceto, D. Ciuonzo, V. Persico, A. Pescapè, “Unveiling MIMETIC: Interpreting Deep Learning Traffic Classifiers via XAI Techniques”, 2021 IEEE International Conference on Cyber Security and Resilience (CSR), 2021.