Dataset of attacks on a live enterprise VoIP network for machine learning based intrusion detection and prevention systems

This data article presents a dataset which can be used to train machine learning (ML) algorithms towards intrusion detection and prevention systems (IDS/IPS). The dataset applies to the field of unified communications in voice over internet protocol (VoIP) networks. Information related to the design and implementation of a real enterprise VoIP network is provided along with the specific protocols used. The attack tools used to disrupt the VoIP communications and the resulting data collected are uniquely presented in sub-datasets. Guidance on how to use the dataset and benefit from the raw packet captures is provided to support research and development in IDS/IPS systems.

Automated summary

This data article introduces a dataset for training intrusion detection and prevention system algorithms, suitable for the unified communications field of VoIP networks. It provides information on the design and implementation of real enterprise VoIP networks, presents attack tools and data results in sub-datasets, and offers guidance on utilizing the dataset.