BRIDGE: Benchmark Reference for IoT Domain Generalisation Evaluation

BRIDGE is a benchmark dataset for evaluating domain generalization in IoT botnet detection. It was created by researchers from KIIT University and published in a paper titled 'BRIDGE and TCH-Net: Heterogeneous Benchmark and Multi-Branch Baseline for Cross-Domain IoT Botnet Detection'. The dataset was last updated on the Hugging Face platform in April 2026.

Use Cases

• Benchmarking domain generalization algorithms based on the dataset's stated purpose for IoT botnet detection.
• Training and evaluating cross-domain intrusion detection models based on the heterogeneous benchmark nature described.
• Developing multi-branch neural network baselines like TCH-Net, for which this dataset serves as an evaluation corpus.

Strengths

• Explicitly designed as a benchmark for the specific research problem of domain generalization in IoT security.
• Associated with a published academic paper and a named model (TCH-Net), providing research context.
• Source code for the associated model is publicly available on GitHub, suggesting reproducibility.

Limitations

• Description metadata is limited; actual data quality, size, and structure require manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown, which may limit suitability assessment.

Provenance

Source

KIIT University researchers (Ammar Bhilwarawala et al.).

Collection Method

Likely gathered from network traffic simulations or captures for IoT botnet detection, as inferred from the paper title.

Time Range

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Freshness

Last updated 2026-04-20 11:21:07; freshness should be verified.

Geography

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