ONE-MS-I: A micro-services based network traffic dataset

The shift towards cloud-native applications has been accelerating in recent years. Modern applications are increasingly distributed, taking advantage of cloud-native features such as scalability, flexibility, and high availability. However, this evolution also introduces various security challenges. From a networking perspective, the large number of interconnected components and their intricate communication patterns make detecting and mitigating traffic anomalies a complex task. To handle such task, AI/ML based approaches are required, which in turn require suitable cloud-native datasets to be trained.
ONE-MS-I is a network traffic data dataset tailored for cloud-native & micro-services paradigms that can be used to train and evaluate AI/ML approaches developed for network traffic anomaly detection.