CSE-CIC-IDS2018

The 'CSE-CIC-IDS2018' dataset is a benchmark that contains network traffic data used to evaluate threat detection systems in the context of cyber security.

Papers using CSE-CIC-IDS2018 (12)

Extending Network Intrusion Detection With Enhanced Particle Swarm Optimization Techniques2024 · 5 citesAgentic Intelligence for Unified Cyber Defense: A Self-Adaptive Framework for Threat Detection Across Cloud, Edge, and IoT Systems2026 · 2 citesQuantum transfer learning for cross-domain cybersecurity threat detection and categorization2026 · 1 citesProcess Mining Algorithm For Online Intrusion Detection System2022 · 2 citesAi-powered Hybrid Intrusion Detection Framework For Cloud Security Using Novel Metaheuristic Optimization2026Developed Lightweight Endpoint Detection and Response Prototype Using Machine Learning for Efficient Threat Detection and Prioritization2026An intelligence framework for threat detection and response in cloud–IoT-assisted enterprise environments2026Machine learning-based framework for dynamic risk assessment and early warning in wireless network security environments2026Enterprise Network Security Using Few‐Shot Meta‐Learning2026Improving Network Security Through Machine Learning Based Traffic Classification: A Comparative Survey2026Vaemax: Open-set Intrusion Detection Based On Openmax And Variational Autoencoder2024 · 5 citesOptimizing Intrusion Detection System Performance Through Synergistic Hyperparameter Tuning And Advanced Data Processing2024 · 1 cites