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 However, existing network anomaly datasets are out of date (i.e., being collected many years ago) or IP-anonymized, making the data characteristics differ from today's network.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.

翻译：长期以来,网络安全一直是一个积极的研究课题。一个关键问题是提高入侵探测系统(如防火墙)的异常探测能力。然而,现有的网络异常数据集已经过时(即多年前收集的)或IP匿名化,使得数据特征不同于今天的网络。因此,这项工作引入了一个新的大规模和现实世界数据集,即ZYELL-NCTU NetTrafficic-1.0,该数据集是从一个真实网络的防火墙原始输出中收集的,目的是推动网络安全研究的发展。