FHEID: Template Biometrici a Fuga Zero, Ricerca Cifrata e Prove Private
FHEID è pioniere nei framework di crittografia completamente omomorfa (FHE) per l'identità biometrica, eseguendo matching di distanza euclidea e similarità del coseno su vettori di feature cifrati a 512 dimensioni in cloud non attendibili con zero esposizione dei template biometrici.
FHEID Homomorphic Biometric Pipeline & Cloud Matching Topology
Client biometric extraction, CKKS homomorphic encryption, and blind cloud similarity search
Central System: FHE Biometric Engine - Encrypted Vector Matching Core
Cryptographic Nodes
- Client Feature Extractor
- CKKS Homomorphic Encrypter
- Untrusted Cloud Matcher
- Encrypted Threshold Evaluator
- Client Decision Decryptor
Architectural Layers & Protocols
- Client Biometric Extraction Plane (Edge Neural Network / Secure Enclave): Extracting normalized 512-element floating-point feature embeddings from iris, face, or fingerprint sensors.
- Homomorphic Vector Cryptosystem (CKKS Ring-LWE Homomorphic Encryption): Encrypting biometric embeddings into high-degree polynomial rings with configurable noise budgets.
- Blind Cloud Evaluation Engine (SIMD Vector Batching & Rescaling Operations): Computing encrypted dot products across millions of stored encrypted templates in parallel without decryption.
- Privacy Compliance & Audit Layer (GDPR Article 9 / CCPA / BIPA Biometric Shield): Guaranteeing mathematical impossibility of biometric template reconstruction from stolen databases.
Key Metrics: Zero Decryption (Cloud Biometric Privacy) | < 85 ms (Homomorphic Match Time) | 512 Dimensions (Vector Embedding Size) | 100% (GDPR / BIPA Compliance)
Autenticazione biometrica FHE che preserva la privacy, corrispondenza di vettori iride/impronta digitale crittografati in enclave cloud non attendibili
Authoritative technical engineering reference for privacy-preserving fhe biometric authentication, encrypted iris/fingerprint vector matching in untrusted cloud enclaves in NIST FIPS 203/204/205 standards, lattice-based cryptography, side-channel attack mitigation, and quantum-resilient infrastructure.
Core Engineering Areas
Technical Articles