UNSW-NB15

Source https://www.kaggle.com/datasets/dhoogla/unswnb15?resource=download Dataset This is an academic intrusion detection dataset. All the credit goes to the original authors: dr. Nour Moustafa and dr. Jill Slay. Please cite their original paper and all other appropriate articles listed on the UNSW-NB15 page. The full dataset also offers the pcap, BRO and Argus files along with additional documentation. The modifications to the predesignated train-test sets are minimal… See the full description on the dataset page: https://huggingface.co/datasets/wwydmanski/UNSW-NB15.

Papers using UNSW-NB15 (6)

Agentic Intelligence for Unified Cyber Defense: A Self-Adaptive Framework for Threat Detection Across Cloud, Edge, and IoT Systems2026 · 2 citesAssessing Generalisation Capability Of Machine Learning Models For Intrusion Detection2026CRYPTOGRAPHIC MODELS FOR ADAPTIVE THREAT DETECTION IN CLOUD-BASED INFRASTRUCTURES2026Quantum-AI Models for Real-Time Cybersecurity Threat Detection and Adaptive Defense2026Emerging Trends in Malware Detection: The Role of Generative AI in Cyber Defense2026Beyond performance metrics: evaluating the unique value of generative AI in hybrid cybersecurity threat detection2026