ONTS dataset

One of the cornerstones of the ONTIC project is the provisioning of network traffic traces from the operational environment of an ISP over a long period of time −almost throughout project duration. The so-called ONTIC Network Traffic Summary (ONTS) dataset was not only used by the project for testing the developed on/off-line ML-based traffic analysis algorithms but it has also been made available to the wider research community for providing a contemporary, valid traffic dataset for reference testing.


ONTS has gathered traffic traces captured from the core network of a multi-service ISP over 760 days since October 2014, amounting to a total of 511TB corresponding to an average of 688GB of captured data per day. It can become available through an explicit electronic request procedure in text files containing time-stamped anonymized IP packet headers or flow-aggregated records adhering to current legislation for data protection.


In addition, SynthONTS was generated in order to validate the unsupervised network anomaly detector developed by a member of the project (LAAS-CNRS). This ground truth was generated by injecting anomalies created on CORE (https://www.nrl.navy.mil/itd/ncs/products/core) in the ONTS dataset. SynthONTS is also made publicly available as a part of the ONTS dataset. This ground truth is available under request for use by the academic researcher. It is delivered with a description of the ground truth and the injected anomalies (IP of attackers, victims and amplifiers).

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