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Superviz26-SQL: A Multi-Domain Benchmark for SQL Attack Detection

Dataset description Superviz26-SQL is a cross-domain SQL attack detection benchmark designed to evaluate how well SQL intrusion detection systems generalise across different application domains. The benchmark extends the generation methodology of Super

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CreatorQUETEL, Grégor
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Published2026-06-30
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DOI10.5281/zenodo.21068333
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Downloads501
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Licensecc-by-4.0
File Size2.2 GB
Data TypeDataset
Published2026
Licensecc-by-4.0
Total Views275
Total Downloads501

Dataset description

Superviz26-SQL is a cross-domain SQL attack detection benchmark designed to evaluate how well SQL intrusion detection systems generalise across different application domains. The benchmark extends the generation methodology of Superviz25-SQL to four distinct lexical domains and provide different splits. The dataset was generated using gquetel/adapt-sql.  The repository also contains example of evaluation pipelines using these datasets.

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Superviz26-SQL: A Multi-Domain Benchmark for SQL Attack Detection (Full Dataset)2.2 GB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

QUETEL, Grégor (2026). Superviz26-SQL: A Multi-Domain Benchmark for SQL Attack Detection. https://doi.org/10.5281/zenodo.21068333