Adaptive intrusion detection for IoT and IoMT
Intrusion detection systems for IoT and medical IoT that adapt to newly emerging attacks through incremental, few-shot and federated learning.
Tools & projects
People
Antonio PescapèFull Professor · Principal Investigator
Francesco CerasuoloPostdoc
Domenico CiuonzoAssociate Professor
Antonio MontieriTenure-Track Professor
Alfredo NascitaAssistant Professor (RTDA)
Davide di MondaPostdoc
Valerio PersicoAssociate Professor
Gabriele MangiacaprePhD Student
Giuseppe AcetoAssociate Professor
Publications
- Journal R. Carillo, F. Cerasuolo, G. Bovenzi, D. Ciuonzo, A. Pescapè, “A Federated and Incremental Network Intrusion Detection System for IoT Emerging Threats”, IEEE Transactions on Network and Service Management, 2026.
- Conference D. D’Ambrosio, F. Cerasuolo, A. Nascita, G. Bovenzi, A. Montieri, A. Pescapè, “When New Attacks Emerge: Adaptive Intrusion Detection Systems for IoMT”, 2026 13th International Conference on Future Internet of Things and Cloud (FiCloud), 2026.
- Conference G. Mangiacapre, F. Cerasuolo, A. Nascita, A. Montieri, A. Pescapè, “Towards Privacy-Preserving and Continual Intrusion Detection Systems in Internet of Medical Things”, 2026 International Conference on Smart Applications, Communications and Networking (SmartNets), 2026.
- Conference D. D’Ambrosio, A. Nascita, A. Montieri, A. Pescapè, “Trustworthy Network Intrusion Detection Systems for IoMT: Explainability and Optimization”, 2026 IFIP Networking Conference (IFIP Networking), 2026.
- Journal F. Cerasuolo, G. Bovenzi, D. Ciuonzo, A. Pescapè, “Attack-adaptive network intrusion detection systems for IoT networks through class incremental learning”, Computer Networks, 2025.
- Conference D. Di Monda, F. Rustam, A. D. Jurcut, A. Pescapè, “Rapid Few-Shot Learning for Resilient Multi-Domain Intrusion Detection”, GLOBECOM 2025 - 2025 IEEE Global Communications Conference, 2025.
- Conference F. Cerasuolo, G. Bovenzi, A. Montieri, A. Pescapè, “Class Incremental Learning for Network-Agnostic Intrusion Detection Systems”, 2025 IEEE 9th Forum on Research and Technologies for Society and Industry (RTSI), 2025.
- Journal F. Cerasuolo, G. Bovenzi, D. Ciuonzo, A. Pescapè, “Adaptable, incremental, and explainable network intrusion detection systems for internet of things”, Engineering Applications of Artificial Intelligence, 2025.
- Journal D. Di Monda, A. Montieri, V. Persico, P. Voria, M. De Ieso, A. Pescapè, “Few-Shot Class-Incremental Learning for Network Intrusion Detection Systems”, IEEE Open Journal of the Communications Society, 2024.
- Journal G. Bovenzi, D. Di Monda, A. Montieri, V. Persico, A. Pescapè, “Classifying attack traffic in IoT environments via few-shot learning”, Journal of Information Security and Applications, 2024.
- Conference F. Cerasuolo, G. Bovenzi, C. Marescalco, F. Cirillo, D. Ciuonzo, A. Pescapè, “Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats”, 2023 IEEE International Conference on Big Data (BigData), 2023.
- Conference A. Nascita, F. Cerasuolo, D. Di Monda, J. T. A. Garcia, A. Montieri, A. Pescapè, “Machine and Deep Learning Approaches for IoT Attack Classification”, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2022.
- Conference G. Bovenzi, G. Aceto, D. Ciuonzo, V. Persico, A. Pescapè, “A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios”, GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020.
- Journal A. Petrillo, A. Pescapè, S. Santini, “A Secure Adaptive Control for Cooperative Driving of Autonomous Connected Vehicles in the Presence of Heterogeneous Communication Delays and Cyberattacks”, IEEE Transactions on Cybernetics, 2020.