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AnonShield: Scalable On-Premise Pseudonymization for CSIRT Vulnerability Data

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arXiv:2606.15650v1 Announce Type: new Abstract: 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 f

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Computer Science > Cryptography and Security [Submitted on 5 Apr 2026] AnonShield: Scalable On-Premise Pseudonymization for CSIRT Vulnerability Data Cristhian Kapelinski, Douglas Lautert, Beatriz Machado, Diego Kreutz, Isadora Garcia Ferrão 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. Comments: 9 pages, including 2 figures and 8 tables, submitted to SF/SBRC 2026 Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI); Performance (cs.PF) MSC classes: 68M25 ACM classes: I.2; C.4; D.2; E.2 Cite as: arXiv:2606.15650 [cs.CR] (or arXiv:2606.15650v1 [cs.CR] for this version) https://doi.org/10.48550/arXiv.2606.15650 Focus to learn more Submission history From: Diego Kreutz [view email] [v1] Sun, 5 Apr 2026 13:25:16 UTC (258 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev | next > new | recent | 2026-06 Change to browse by: cs cs.AI cs.PF References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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