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InfoResearchPeer-reviewed
VeriFPHM: Robust and Trustworthy Harmful Media Detection in End-to-End Encrypted Communication
- Published
- Record updated
Summary
VeriFPHM is a verifiable fuzzy private hash matching scheme for detecting harmful media in end-to-end encrypted communication without exposing the server-side hash set or revealing unmatched media. It uses multivariate polynomial commitments, adaptive Merkle trees, and Cuckoo hash buckets for verification and efficient dynamic updates, plus a two-step fuzzy matching protocol built on LPN-based VOLE. The authors report up to 100x faster certification than the scheme by Scheffler et al. and better update performance than state-of-the-art schemes.