The TII-SSRC-23 dataset offers a comprehensive collection of network traffic patterns, meticulously compiled to support the development and research of Intrusion Detection Systems (IDS). It presents a dual structure: one part provides a tabular representation of extracted features in CSV format, while the other offers raw network traffic data for each type of traffic in PCAP files. This rich dataset captures both benign and malicious network scenarios, serving as an invaluable resource for researchers in the machine learning field.
URL: https://www.kaggle.com/datasets/daniaherzalla/tii-ssrc-23
Variants: TII-SSRC-23
This dataset is used in 3 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Anomaly Detection | Deep SVDD | TII-SSRC-23 Dataset: Typological Exploration of … | 2023-09-14 |
| Binary Classification | XGBoost | TII-SSRC-23 Dataset: Typological Exploration of … | 2023-09-14 |
| Multi-class Classification | Extra Trees | TII-SSRC-23 Dataset: Typological Exploration of … | 2023-09-14 |
Recent papers with results on this dataset: