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The BlockDataTrust Benchmark Dataset (BlockDataTrust) is a comprehensive synthetic dataset developed to support research on data trustworthiness in blockchain-integrated systems. It was created as part of ongoing research at University College Dublin, specifically to address the growing need for structured, machine learning–ready data to evaluate trust in decentralized environments. Unlike existing blockchain datasets that typically focus […]

With a plethora of new connections, features, and services introduced, the 5th generation (5G) wireless technology reflects the development of mobile communication networks and is here to stay for the next decade. The multitude of services and technologies that 5G incorporates have made modern communication networks very complex and sophisticated in nature. This complexity along […]

The Netslab-5G Open RAN Intrusion Detection Dataset (Netslab-5GORAN-IDD) is a real-world dataset collected using a physical 5G Open RAN testbed at University College Dublin. It includes both higher-layer network traffic data and lower-layer radio and device-level metrics, making it one of the few comprehensive datasets available for research in Open RAN security. This dataset was […]