https://scholars.lib.ntu.edu.tw/handle/123456789/628553
標題: | ZYELL-NCTU NetTraffic-1.0: A Large-Scale Dataset for Real-World Network Anomaly Detection | 作者: | Chen, Lei Weng, Shao En Peng, Chu Jun Shuai, Hong Han WEN-HUANG CHENG |
公開日期: | 1-一月-2021 | 來源出版物: | 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 | 摘要: | 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 However, existing network anomaly datasets are out of date (i.e., being collected many years ago) or IP-anonymized, making the data characteristics differ from today's network.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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/628553 | ISBN: | 9781665433280 | DOI: | 10.1109/ICCE-TW52618.2021.9602909 |
顯示於: | 資訊工程學系 |
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