AnonShield: Scalable On-Premise Pseudonymization for CSIRT Vulnerability Data
We present AnonShield, a high-throughput, on-premise pseudonymization system that combines GPU-accelerated NER, streaming processing, caching, and schema-aware configuration. Evaluated on datasets up to 550 MB (70,951 records), AnonShield reduces processing time from over 92 hours to under 10 minutes (up to 738x speedup) while achieving up to 94.2% F1-score and 96.7% recall. Our results show that scalable pseudonymization of vulnerability data is feasible without sacrificing analytical utility, enabling compliant data sharing in operational CSIRT environments.
| Authors | Cristhian Kapelinski, Douglas Lautert, Beatriz Machado et al. |
|---|---|
| Primary category | cs.CR |
| Published | 5 April 2026 |
| Last updated at source | 5 April 2026 |
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