This public dataset, created by the University of Oulu, is part of the deliverable for IDUNN D6.6. It represents the final version of synthetic datasets for cyber intelligence using fair machine learning. The dataset includes comprehensive network traffic data featuring both normal and anomalous behaviors to aid in the development and testing of Network Intrusion Detection Systems (NIDS). It addresses limitations in existing datasets by providing dynamically generated, modifiable, and reproducible data that reflects current cyber threat landscapes. This dataset is essential for researchers and developers focused on advancing cybersecurity through fair and effective machine-learning techniques.

2024