SIDD-Image (Segmented Intrusion Detection Dataset)

Introduced by Sun et al. in Adaptive Intrusion Detection in the Networking of Large-Scale LANs with Segmented Federated Learning

This is the first image-based network intrusion detection dataset. This large-scale dataset included network traffic protocol communication-based images from 15 different observation locations of different countries in Asia. This dataset is used to identify two different types of anomalies from benign network traffic. Each image with a size of 48 × 48 contains multi-protocol communications within 128 seconds. The SIDD dataset can be to applied to a broad range of tasks such as machine learning-based network intrusion detection, non-iid federated learning, and so forth.


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