Bot-IoT

The 'Bot-IoT' dataset contains network traffic data specifically related to Internet of Things (IoT) devices and is used to evaluate the effectiveness of intrusion detection systems against modern IoT-based attacks.

Papers using Bot-IoT (7)

Agentic Intelligence for Unified Cyber Defense: A Self-Adaptive Framework for Threat Detection Across Cloud, Edge, and IoT Systems2026 · 2 citesUnlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security2026AI-Powered Intrusion Detection System for Intelligent Network Security Using Machine Learning - Detection of Network and IoT Attacks Using NSL-KDD and Bot-IoT Datasets2026KAN-LSTM: Benchmarking Kolmogorov-Arnold Networks for Cyber Security Threat Detection in IoT Networks2026Revisiting Network Traffic Analysis: Compatible network flows for ML models2025A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems2025Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data2025