AssureMOSS Kubernetes Run-time Monitoring Dataset

AssureMOSS Kubernetes Run-time Monitoring Dataset This dataset contains NetFlow data that is collected from a Kubernetes cluster. The cluster is used to monitor the microservice applications that are running on the cluster. The goal is to use the (NetFlow) logs to learn a state machine model that models the normal network behaviour within the cluster. The state machine model is then used to monitor and detect potential anomalies that might occur during the runtime of the cluster. This dataset contains both benign data (produced by real-life users) and malicious data (produced by launching several attacks against the clusters). The label of each flow is included in the dataset.

AssureMOSS 库伯奈斯（Kubernetes）运行时监控数据集
本数据集包含从库伯奈斯集群采集得到的网络流（NetFlow）数据。该集群用于监控其上运行的微服务应用。其构建目标为，利用该网络流日志学习可表征集群内部正常网络行为的状态机模型，后续可通过该状态机模型对集群运行阶段开展监控，并检测潜在网络异常。本数据集涵盖两类数据：真实用户产生的良性流量数据，以及通过对集群发起多种攻击生成的恶意流量数据，且数据集中的每一条流量均附带对应标签。