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In its raw form, the data is unlabeled. You must correlate the timestamps in the bd_116 capture with the official attack schedule provided by the CIC to label flows as "Benign." Security Note

Researchers use this file to extract flow features (like flow duration, packet length, and inter-arrival time) to create a "normal" profile for a network. How to Use the File

It typically contains a subset of "Benign" (normal) network traffic data, which serves as the baseline for identifying anomalies.

Developed by the Canadian Institute for Cybersecurity (CIC) at the University of New Brunswick.

The file is part of a large-scale collection of network traffic captures designed to help researchers train machine learning models to distinguish between benign activity and cyber-attacks.

Bd_116.zip File

In its raw form, the data is unlabeled. You must correlate the timestamps in the bd_116 capture with the official attack schedule provided by the CIC to label flows as "Benign." Security Note

Researchers use this file to extract flow features (like flow duration, packet length, and inter-arrival time) to create a "normal" profile for a network. How to Use the File bd_116.zip

It typically contains a subset of "Benign" (normal) network traffic data, which serves as the baseline for identifying anomalies. In its raw form, the data is unlabeled

Developed by the Canadian Institute for Cybersecurity (CIC) at the University of New Brunswick. Developed by the Canadian Institute for Cybersecurity (CIC)

The file is part of a large-scale collection of network traffic captures designed to help researchers train machine learning models to distinguish between benign activity and cyber-attacks.