  Network security has been an active research topic for long. One critical
issue is improving the anomaly detection capability of intrusion detection
systems (IDSs), such as firewalls. However, existing network anomaly datasets
are out of date (i.e., being collected many years ago) or IP-anonymized, making
the data characteristics differ from today's network. Therefore, this work
introduces a new, large-scale, and real-world dataset, ZYELL-NCTU
NetTraffic-1.0, which is collected from the raw output of firewalls in a real
network, with the objective to advance the development of network security
researches.
