FHEID: Modèles Biométriques Zéro-Fuite, Recherche Chiffrée et Preuves Privées
FHEID est pionnier des cadres de chiffrement totalement homomorphe (FHE) pour l'identité biométrique, exécutant des calculs de distance euclidienne et de similarité cosinus sur des vecteurs chiffrés de 512 dimensions dans le cloud sans aucune exposition de gabarits biométriques.
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)
Authentification biométrique FHE préservant la confidentialité, correspondance de vecteurs iris/empreintes chiffrés dans des enclaves cloud non fiables
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