DBFC-1: Database Forensic Classification Corpus and DBF-Net Reference Model (v1.0)

A fully reproducible benchmark corpus of 24,000 reconstructed database events for AI-enabled database forensic triage, spanning one benign class and five tamper categories (tamper, exfiltration, anti-forensic, privilege-escalation, destructive), with an 18-feature forensic taxonomy across seven groups, a deterministic generator (seed 20260115), official train/validation/test splits, the DBF-Net gradient-boosted reference classifier, three baselines, full evaluation code (significance tests, ablation, evasion, SHAP), and all figures. Accompanies the paper "From Artifacts to Attribution: An AI-Enabled Framework for Database Forensics with the DBFC-1 Public Benchmark Corpus." Data and figures are licensed CC BY 4.0; code is licensed MIT.