Malware and botnet traffic
Classifying the traffic of Android malware and IoT botnets, with hierarchical and few-shot learning approaches.
Tools & projects
People
Antonio PescapèFull Professor · Principal Investigator
Valerio PersicoAssociate Professor
Vincenzo SpadariPhD Student
Davide di MondaPostdoc
Antonio MontieriTenure-Track Professor
Francesco CerasuoloPostdoc
Alfredo NascitaAssistant Professor (RTDA)
Alberto DainottiPhD - Now at Georgia Tech
Publications
- Conference D. D’Ambrosio, F. Cerasuolo, A. Nascita, A. Montieri, A. Pescapè, “A Zero-Shot Evaluation of Large Language Models for Detecting Algorithmically Generated Domains”, 2026.
- Conference D. Di Monda, G. Bovenzi, A. Montieri, V. Persico, A. Pescapè, “IoT Botnet-Traffic Classification Using Few-Shot Learning”, 2023 IEEE International Conference on Big Data (BigData), 2023.
- Conference G. Bovenzi, V. Persico, A. Pescapè, A. Piscitelli, V. Spadari, “Hierarchical Classification of Android Malware Traffic”, 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022.
- Conference G. Bovenzi, F. Cerasuolo, A. Montieri, A. Nascita, V. Persico, A. Pescapè, “A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic”, 2022 IEEE Symposium on Computers and Communications (ISCC), 2022.
- Journal A. Berger, A. D’Alconzo, W. N. Gansterer, A. Pescapè, “Mining agile DNS traffic using graph analysis for cybercrime detection”, Computer Networks, 2016.
- Conference A. Dainotti, A. King, K. claffy, F. Papale, A. Pescapè, “Analysis of a "/0" stealth scan from a botnet”, Proceedings of the 2012 Internet Measurement Conference, 2012. PDF
- Conference A. Dainotti, A. Pescapè, G. Ventre, “Worm Traffic Analysis and Characterization”, 2007 IEEE International Conference on Communications, 2007. PDF