Advancing Network Security: A Comprehensive Testbed and Dataset for Machine Learning-Based Intrusion Detection
Talaya Farasat, JongWon Kim, Joachim Posegga · arXiv (Cornell University) · 2024
This paper introduces a Testbed designed for generating network traffic, leveraging the capabilities of containers, Kubernetes, and eBPF/XDP technologies. Our Testbed serves as an advanced platform for producing network traffic for machine learning based network experiments. By utilizing this Testbed, we offer small malicious network traffic dataset publically that satisfy ground truth property completely.