lifelonglab/continual-unsw-anomaly-detection

UNSW数据集是一个关于网络安全的研究数据集，包含了异常检测、入侵检测等场景的数据。数据集提供了三种不同的配置方式，分别为最近邻分配、随机分配和随机异常，每种配置都包含了训练集和测试集，适用于持续学习和网络安全相关的任务。

The UNSW dataset is a cybersecurity research dataset that includes data for anomaly detection and intrusion detection scenarios. The dataset offers three different configuration methods: closest assignment, random assignment, and random anomalies, each with its training and test sets, suitable for continual learning and cybersecurity-related tasks.