ToN-IoT

The 'ToN-IoT' dataset is a benchmark that contains network traffic data specifically for Internet of Things (IoT) devices and is used to evaluate cybersecurity threat detection and categorization methods.

Papers using ToN-IoT (7)

Quantum transfer learning for cross-domain cybersecurity threat detection and categorization2026 · 1 citesNetVAD: Foundation-Model Representation Learning for Identifier-Free Unsupervised Intrusion Detection2026Quantum-AI Models for Real-Time Cybersecurity Threat Detection and Adaptive Defense2026Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection2026ThreatFormer-IDS: Robust Transformer Intrusion Detection with Zero-Day Generalization and Explainable Attribution2026LoRA-based Parameter-Efficient LLMs for Continuous Learning in Edge-based Malware Detection2026A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems2025