TY - DATA T1 - AssureMOSS Kubernetes Run-time Monitoring Dataset PY - 2022/08/10 AU - Clinton Cao AU - Agathe Blaise UR - https://data.4tu.nl/articles/dataset/AssureMOSS_Kubernetes_Run-time_Monitoring_Dataset/20463687/1 DO - 10.4121/20463687.v1 KW - Kubernetes cluster KW - NetFlow KW - Anomaly detection (Computer security) KW - run-time monitoring N2 -
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.
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