This page links to public synthetic intrusion datasets developed at the University of Sannio, Benevento (USB).
These datasets are fully described in the papers and are freely downloadable for research use. Credits should be given to the developers by mentioning the source and referencing the dataset presentation paper.
"USB-IDS-1: a Public Multilayer Dataset of Labeled Network Flows for IDS Evaluation" by M. Catillo, A. Del Vecchio, L. Ocone, A. Pecchia, U. Villano, presented at the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) 2021 - Workshop on Data-Centric Dependability and Security
"USB-IDS-TC: a Flow-based Intrusion Detection Dataset of DoS Attacks in Different Network Scenarios" by M. Catillo, A. Pecchia, U. Villano, to be presented at the 11th International Conference on Information System Security and Privacy (ICISSP) 2025, Porto (Portugal)
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