SIDD-Image
Segmented Intrusion Detection Dataset
Introduced in Adaptive Intrusion Detection in the Networking of Large-Scale LANs with Segmented Federated Learning2020
About this Dataset
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.
Dataset Variants
