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

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This dataset is associated with the paper 'Advancing Network Security: A Comprehensive Testbed and Dataset for Machine Learning-Based Intrusion Detection.' https://arxiv.org/abs/2410.18332

2.5 million network flows

125,000 normal flows 125,000 malicious flows

Features extracted with CICFlowmeter https://github.com/ahlashkari/CICFlowMeter

Labels:

Malicious 1 Normal 0

For more details, please refer to the full paper 'Advancing Network Security: A Comprehensive Testbed and Dataset for Machine Learning-Based Intrusion Detection.'

If you're looking for the corresponding PCAP files, you can access them here. https://drive.google.com/drive/folders/11DDvarZg9YOvzPfK2e78CLP7S_a9bCXm

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