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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.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"Assurance and certification in secure Multi-party Open Software and Services.","funderName":"European 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