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XInternet (eXplainable Internet)

Publications

 

Journal Papers

  • I. Guarino, G. Aceto, D. Ciuonzo, A. Montieri, V. Persico and A. Pescapè, "Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps," in IEEE Open Journal of the Communications Society, doi: 10.1109/OJCOMS.2024.3366849
  • L. Gioacchini, M. Mellia, L. Vassio, I. Drago, G. Milan, Z.B. Houidi, and D. Rossi, "Cross-network Embeddings Transfer for Traffic Analysis," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2023.3329442
  • D. Di Monda, A. Montieri, V. Persico, P. Voria, M. De Ieso and A. Pescapè, "Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems," in IEEE Open Journal of the Communications Society, vol. 5, pp. 6736-6757, 2024, doi: 10.1109/OJCOMS.2024.3481895
  • G. Bovenzi, D. Di Monda, A. Montieri, V. Persico, A. Pescapè, "Classifying attack traffic in IoT environments via few-shot learning", in Elsevier Journal of Information Security and Applications, vol. 83, p. 103762, 2024, doi: 10.1016/j.jisa.2024.103762
  • A. Nascita, G. Aceto, D. Ciuonzo, A. Montieri, V. Persico and A. Pescapé, "A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection," in IEEE Communications Surveys & Tutorials, doi: 10.1109/COMST.2024.3504955
  • I. Guarino, G. Aceto, D. Ciuonzo, A. Montieri, V. Persico and A. Pescapè, "Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps," in IEEE Open Journal of the Communications Society, vol. 5, pp. 1299-1324, 2024, doi: 10.1109/OJCOMS.2024.3366849
  • G. Aceto, F. Giampaolo, C. Guida, S. Izzo, A. Pescapè, F. Piccialli, E. Prezioso, "Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems", in Elsevier Journal of Network and Computer Applications, vol. 229, pp. 103926, 2024, doi: 10.1016/j.jnca.2024.103926
  • R. Valentim, I. Drago, M. Mellia, and F. Cerutti. "X-squatter: AI Multilingual Generation of Cross-Language Sound-squatting", ACM Trans. Priv. Secur. 27, 3, 2024, 27 pages. doi: 10.1145/3663569
  • M. Boffa, I. Drago, M. Mellia, L. Vassio, D. Giordano, R. Valentim, Z. B. Houidi, "LogPrécis: Unleashing language models for automated malicious log analysis: Précis: A concise summary of essential points, statements, or facts", Computers & Security, Volume 141, 2024, 103805, ISSN 0167-4048, doi: 10.1016/j.cose.2024.103805 
  • L. Gioacchini, I. Drago, M. Mellia, Z. B. Houidi, and D. Rossi, "Generic Multi-modal Representation Learning for Network Traffic Analysis", arXiv preprint arXiv:2405.02649, 2024, doi: 10.48550/arXiv.2405.02649
  • L. Gioacchini, M. Mellia, L. Vassio, I. Drago, G. Milan, Z. B. Houidi, "Cross-Network Embeddings Transfer for Traffic Analysis," in IEEE Transactions on Network and Service Management, vol. 21, no. 3, pp. 2686-2699, 2024, doi: 10.1109/TNSM.2023.3329442
  • G. Bovenzi, F. Cerasuolo, D. Ciuonzo, D. Di Monda, I. Guarino, A. Montieri, V. Persico, and A. Pescapè. "Mapping the Landscape of Generative AI in Network Monitoring and Management.", in IEEE Transactions on Network and Service Management
  • F. Cerasuolo, G. Bovenzi, D. Ciuonzo, A. Pescapè, "Adaptable, incremental, and explainable network intrusion detection systems for internet of things", in Elsevier Engineering Applications of Artificial Intelligence, vol.  144, pp. 110143, 2025, doi: 10.1016/j.engappai.2025.110143
  • F. Cerasuolo, G. Bovenzi, D. Ciuonzo, A. Pescapè, "Attack-adaptive network intrusion detection systems for IoT networks through class incremental learning", in Elsevier Computer Networks, vol. 263, pp. 111228, 2025, doi: 10.1016/j.comnet.2025.111228

  

Conference Papers

  • L. Gioacchini, A. Cavallo, M. Mellia, and L. Vassio. 2023. "Exploring Temporal GNN Embeddings for Darknet Traffic Analysis". In Proceedings of the 2nd on Graph Neural Networking Workshop 2023 (GNNet '23). Association for Computing Machinery, New York, NY, USA, 31–36. https://doi.org/10.1145/3630049.3630175
  • A. Nascita, F. Cerasuolo, G. Aceto, D. Ciuonzo, V. Persico, and A. Pescapé. 2023. "Explainable Mobile Traffic Classification: the Case of Incremental Learning". In Proceedings of the 2023 on Explainable and Safety Bounded, Fidelitous, Machine Learning for Networking (SAFE '23). Association for Computing Machinery, New York, NY, USA, 25–31. https://doi.org/10.1145/3630050.3630178
  • D. D. Monda, G. Bovenzi, A. Montieri, V. Persico and A. Pescapè, "IoT Botnet-Traffic Classification Using Few-Shot Learning," 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 3284-3293, doi: 10.1109/BigData59044.2023.10386602
  • F. Cerasuolo, G. Bovenzi, C. Marescalco, F. Cirillo, D. Ciuonzo, and A. Pescapè, "Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats," in 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023 pp. 3547-3555. doi: 10.1109/BigData59044.2023.10386129
  • L. Gioacchini, W. Santos, B. Lopes, I. Drago, M. Mellia, J. M. Almeida, "Explainable Stacking Models based on Complementary Traffic Embeddings," 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), Vienna, Austria, 2024, pp. 261-272, doi: 10.1109/EuroSPW61312.2024.00035
  • A. Nascita, R. Carillo, F. Giampetraglia, A. Iacono, V. Persico and A. Pescapé, "Interpretability and Complexity Reduction in Iot Network Anomaly Detection Via XAI," 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Seoul, Korea, Republic of, 2024, pp. 325-329, doi: 10.1109/ICASSPW62465.2024.10626031
  • V. Spadari, F. Cerasuolo, G. Bovenzi and A. Pescapè, "An MLOps Framework for Explainable Network Intrusion Detection with MLflow," 2024 IEEE Symposium on Computers and Communications (ISCC), Paris, France, 2024, pp. 1-6, doi: 10.1109/ISCC61673.2024.10733700
  • F. Cerasuolo, I. Guarino, V. Spadari, G. Aceto and A. Pescapé, "XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification," 2024 IFIP Networking Conference (IFIP Networking), Thessaloniki, Greece, 2024, pp. 757-762, doi: 10.23919/IFIPNetworking62109.2024.10619769
  • F. Cerasuolo, G. Bovenzi, V. Spadari, D. Ciuonzo and A. Pescapè, "Explainable Few-Shot Class Incremental Learning for Mobile Network Traffic Classification," GLOBECOM 2024 - 2024 IEEE Global Communications Conference, Cape Town, South Africa, 2024, pp. 1299-1304, doi: 10.1109/GLOBECOM52923.2024.10901329
  • I. Guarino, D. Ciuonzo, A. Montieri and A. Pescapè, "Mirage-App×Act-2024: A Novel Dataset for Mobile App and Activity Traffic Analysis," 2024 20th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Paris, France, 2024, pp. 663-666, doi: 10.1109/WiMob61911.2024.10770459
  • K. Huang, L. Gioacchini, M. Mellia and L. Vassio, "Dynamic Cluster Analysis to Detect and Track Novelty in Network Telescopes," 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), Vienna, Austria, 2024, pp. 287-296, doi: 10.1109/EuroSPW61312.2024.00037
  • L. Gioacchini, A. Cavallo, M. Mellia, and L. Vassio, "Exploring Temporal GNN Embeddings for Darknet Traffic Analysis. In Proceedings of the 2nd on Graph Neural Networking Workshop 2023 (GNNet '23)", Association for Computing Machinery, New York, NY, USA, 31–36. doi: 10.1145/3630049.3630175 
  • V. Spadari, I. Guarino, D. Ciuonzo, A. Pescapè, "Towards Network Intrusion Detection via Quantum Machine Learning: A Reality Check",  IEEE INFOCOM 2025 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), London, UK, 2025, pp. 1-6

 

 

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Contacts

DIETI - Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione - Università Degli Studi di Napoli "Federico II"

Via Claudio, 21, 80125, Napoli 

pescape@unina.it