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Advancing Network Security: A Comprehensive Testbed and Dataset for Machine Learning-Based Intrusion Detection

Cryptography and Security 2024-10-25 v1 Networking and Internet Architecture
Authors: Talaya Farasat , JongWon Kim , Joachim Posegga
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Abstract

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.

Keywords

network protocol verification cloud security

Cite

@article{arxiv.2410.18332,
  title  = {Advancing Network Security: A Comprehensive Testbed and Dataset for Machine Learning-Based Intrusion Detection},
  author = {Talaya Farasat and JongWon Kim and Joachim Posegga},
  journal= {arXiv preprint arXiv:2410.18332},
  year   = {2024}
}

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